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Underdetermined direction of arrival estimation with nonuniform linear motion sampling based on a small unmanned aerial vehicle platform
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作者 Xinwei Wang Xiaopeng Yan +2 位作者 Tai An Qile Chen Dingkun Huang 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2024年第3期352-363,共12页
Uniform linear array(ULA)radars are widely used in the collision-avoidance radar systems of small unmanned aerial vehicles(UAVs).In practice,a ULA's multi-target direction of arrival(DOA)estimation performance suf... Uniform linear array(ULA)radars are widely used in the collision-avoidance radar systems of small unmanned aerial vehicles(UAVs).In practice,a ULA's multi-target direction of arrival(DOA)estimation performance suffers from significant performance degradation owing to the limited number of physical elements.To improve the underdetermined DOA estimation performance of a ULA radar mounted on a small UAV platform,we propose a nonuniform linear motion sampling underdetermined DOA estimation method.Using the motion of the UAV platform,the echo signal is sampled at different positions.Then,according to the concept of difference co-array,a virtual ULA with multiple array elements and a large aperture is synthesized to increase the degrees of freedom(DOFs).Through position analysis of the original and motion arrays,we propose a nonuniform linear motion sampling method based on ULA for determining the optimal DOFs.Under the condition of no increase in the aperture of the physical array,the proposed method obtains a high DOF with fewer sampling runs and greatly improves the underdetermined DOA estimation performance of ULA.The results of numerical simulations conducted herein verify the superior performance of the proposed method. 展开更多
关键词 Unmanned aerial vehicle(UAV) Uniform linear array(ULA) direction of arrival(doa) Difference co-array Nonuniform linear motion sampling method
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DOA estimation of high-dimensional signals based on Krylov subspace and weighted l_(1)-norm
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作者 YANG Zeqi LIU Yiheng +4 位作者 ZHANG Hua MA Shuai CHANG Kai LIU Ning LYU Xiaode 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2024年第3期532-540,F0002,共10页
With the extensive application of large-scale array antennas,the increasing number of array elements leads to the increasing dimension of received signals,making it difficult to meet the real-time requirement of direc... With the extensive application of large-scale array antennas,the increasing number of array elements leads to the increasing dimension of received signals,making it difficult to meet the real-time requirement of direction of arrival(DOA)estimation due to the computational complexity of algorithms.Traditional subspace algorithms require estimation of the covariance matrix,which has high computational complexity and is prone to producing spurious peaks.In order to reduce the computational complexity of DOA estimation algorithms and improve their estimation accuracy under large array elements,this paper proposes a DOA estimation method based on Krylov subspace and weighted l_(1)-norm.The method uses the multistage Wiener filter(MSWF)iteration to solve the basis of the Krylov subspace as an estimate of the signal subspace,further uses the measurement matrix to reduce the dimensionality of the signal subspace observation,constructs a weighted matrix,and combines the sparse reconstruction to establish a convex optimization function based on the residual sum of squares and weighted l_(1)-norm to solve the target DOA.Simulation results show that the proposed method has high resolution under large array conditions,effectively suppresses spurious peaks,reduces computational complexity,and has good robustness for low signal to noise ratio(SNR)environment. 展开更多
关键词 direction of arrival(doa) compressed sensing(CS) Krylov subspace l_(1)-norm dimensionality reduction
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Direction-of-arrival estimation based on direct data domain (D3) method 被引量:2
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作者 Chen Hui Huang Benxiong +1 位作者 Wang Yongliang Hou Yaoqiong 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2009年第3期512-518,共7页
A direction-of-arrival (DOA) estimation algorithm based on direct data domain (D3) approach is presented. This method can accuracy estimate DOA using one snapshot modified data, called the temporal and spatial two... A direction-of-arrival (DOA) estimation algorithm based on direct data domain (D3) approach is presented. This method can accuracy estimate DOA using one snapshot modified data, called the temporal and spatial two-dimensional vector reconstruction (TSR) method. The key idea is to apply the D3 approach which can extract the signal of given frequency but null out other frequency signals in temporal domain. Then the spatial vector reconstruction processing is used to estimate the angle of the spatial coherent signal source based on extract signal data. Compared with the common temporal and spatial processing approach, the TSR method has a lower computational load, higher real-time performance, robustness and angular accuracy of DOA. The proposed algorithm can be directly applied to the phased array radar of coherent pulses. Simulation results demonstrate the performance of the proposed technique. 展开更多
关键词 direction-of-arrival estimation space-time two-dimensional doa direct data domain de-correlation.
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High-order extended coprime array design for direction of arrival estimation 被引量:5
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作者 SHI Junpeng WEN Fangqing +2 位作者 LIU Yongxiang LIU Tianpeng LIU Zhen 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2021年第4期748-755,共8页
Nonuniform linear arrays,such as coprime array and nested array,have received great attentions because of the increased degrees of freedom(DOFs)and weakened mutual coupling.In this paper,inspired by the existing copri... Nonuniform linear arrays,such as coprime array and nested array,have received great attentions because of the increased degrees of freedom(DOFs)and weakened mutual coupling.In this paper,inspired by the existing coprime array,we propose a high-order extended coprime array(HoECA)for improved direction of arrival(DOA)estimation.We first derive the closed-form expressions for the range of consecutive lags.Then,by changing the inter-element spacing of a uniform linear array(ULA),three cases are proposed and discussed.It is indicated that the HoECA can obtain the largest number of consecutive lags when the spacing takes the maximum value.Finally,by comparing it with the other sparse arrays,the optimized HoECA enjoys a larger number of consecutive lags with mitigating mutual coupling.Simulation results are shown to evaluate the superiority of HoECA over the others in terms of DOF,mutual coupling leakage and estimation accuracy. 展开更多
关键词 high-order extended coprime array(HoECA) direction of arrival(doa) degree of freedom(Dof) mutual coupling
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Polynomial-rooting based fourth-order MUSIC for direction-of-arrival estimation of noncircular signals 被引量:5
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作者 Lei Shen Zhiwen Liu +1 位作者 Xiaoming Gou Yougen Xu 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2014年第6期942-948,共7页
A polynomial-rooting based fourth-order cumulant algorithm is presented for direction-of-arrival(DOA) estimation of second-order fully noncircular source signals, using a uniform linear array(ULA). This algorithm ... A polynomial-rooting based fourth-order cumulant algorithm is presented for direction-of-arrival(DOA) estimation of second-order fully noncircular source signals, using a uniform linear array(ULA). This algorithm inherits all merits of its spectralsearching counterpart except for the applicability to arbitrary array geometry, while reducing considerably the computation cost.Simulation results show that the proposed algorithm outperforms the previously developed closed-form second-order noncircular ESPRIT method, in terms of processing capacity and DOA estimation accuracy, especially in the presence of spatially colored noise. 展开更多
关键词 array signal processing direction-of-arrivaldoa es-timation CUMULANT noncircular polynomial-rooting
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Direction of arrival estimation method based on quantum electromagnetic field optimization in the impulse noise 被引量:1
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作者 DU Yanan GAO Hongyuan CHEN Menghan 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2021年第3期527-537,共11页
In order to resolve direction finding problems in the impulse noise,a direction of arrival(DOA)estimation method is proposed.The proposed DOA estimation method can restrain the impulse noise by using infinite norm exp... In order to resolve direction finding problems in the impulse noise,a direction of arrival(DOA)estimation method is proposed.The proposed DOA estimation method can restrain the impulse noise by using infinite norm exponential kernel covariance matrix and obtain excellent performance via the maximumlikelihood(ML)algorithm.In order to obtain the global optimal solutions of this method,a quantum electromagnetic field optimization(QEFO)algorithm is designed.In view of the QEFO algorithm,the proposed method can resolve the difficulties of DOA estimation in the impulse noise.Comparing with some traditional DOA estimation methods,the proposed DOA estimation method shows high superiority and robustness for determining the DOA of independent and coherent sources,which has been verified via the Monte-Carlo experiments of different schemes,especially in the case of snapshot deficiency,low generalized signal to noise ratio(GSNR)and strong impulse noise.Beyond that,the Cramer-Rao bound(CRB)of angle estimation in the impulse noise and the proof of the convergence of the QEFO algorithm are provided in this paper. 展开更多
关键词 direction of arrival(doa)estimation impulse noise infinite norm exponential kernel covariance matrix maximum-likelihood(ML)algorithm quantum electromagnetic field optimization(QEFO)algorithm Cramer-Rao bound(CRB)
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Wideband direction-of-arrival estimation based on cubic spline function
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作者 Hongqi Yu David Day-Uei Li +2 位作者 Kun Zhang Jietao Diao Haijun Liu 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2015年第4期688-693,共6页
A new direction-of-arrival (DOA) estimation algorithm for wideband sources is introduced, The new method obtains the output of the virtual arrays in the signal bandwidth using cubic spline function interpolation tec... A new direction-of-arrival (DOA) estimation algorithm for wideband sources is introduced, The new method obtains the output of the virtual arrays in the signal bandwidth using cubic spline function interpolation techniques. The narrowband high- resolution algorithm is then used to get the DOA estimation. This technique does not require any preliminary knowledge of DOA angles. Simulation results demonstrate the effectiveness of the method. 展开更多
关键词 array signal processing wideband sources cubicspline function direction-of-arrival doa estimation.
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Far-field calibration of automotive millimeter wave radar via near-field implementation
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作者 SUN Jinghu LIU Jiahuan +3 位作者 WEI Wenqiang YU Xianxiang CUI Guolong ZHANG Xiuyin 《Journal of Systems Engineering and Electronics》 2025年第3期694-700,共7页
To enhance direction of arrival(DOA)estimation accuracy,this paper proposes a low-cost method for calibrating farfield steering vectors of large aperture millimeter wave radar(mmWR).To this end,we first derive the ste... To enhance direction of arrival(DOA)estimation accuracy,this paper proposes a low-cost method for calibrating farfield steering vectors of large aperture millimeter wave radar(mmWR).To this end,we first derive the steering vectors with amplitude and phase errors,assuming that mmWR works in the time-sharing mode.Then,approximate relationship between the near-field calibration steering vector and the far-field calibration steering vector is analyzed,which is used to accomplish the mapping between the two of them.Finally,simulation results verify that the proposed method can effectively improve the angle measurement accuracy of mmWR with existing amplitude and phase errors. 展开更多
关键词 automotive millimeter wave radar far-field steering vector calibration near-field steering vector calibration direction of arrival(doa)estimation low cost
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Deep unfolded amplitude-phase error self-calibration network for DOA estimation
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作者 ZHU Hangui CHEN Xixi +1 位作者 MA Teng WANG Yongliang 《Journal of Systems Engineering and Electronics》 2025年第2期353-361,共9页
To tackle the challenges of intractable parameter tun-ing,significant computational expenditure and imprecise model-driven sparse-based direction of arrival(DOA)estimation with array error(AE),this paper proposes a de... To tackle the challenges of intractable parameter tun-ing,significant computational expenditure and imprecise model-driven sparse-based direction of arrival(DOA)estimation with array error(AE),this paper proposes a deep unfolded amplitude-phase error self-calibration network.Firstly,a sparse-based DOA model with an array convex error restriction is established,which gets resolved via an alternating iterative minimization(AIM)algo-rithm.The algorithm is then unrolled to a deep network known as AE-AIM Network(AE-AIM-Net),where all parameters are opti-mized through multi-task learning using the constructed com-plete dataset.The results of the simulation and theoretical analy-sis suggest that the proposed unfolded network achieves lower computational costs compared to typical sparse recovery meth-ods.Furthermore,it maintains excellent estimation performance even in the presence of array magnitude-phase errors. 展开更多
关键词 direction of arrival(doa) sparse recovery alternat-ing iterative minimization(AIM) deep unfolding amplitude-phase error.
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Blind identification and DOA estimation for array sources in presence of scattering 被引量:4
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作者 Ying Xiong Gaoyi Zhang +1 位作者 Bin Tang Hao Cheng 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2011年第3期393-397,共5页
A novel identification method for point source,coherently distributed(CD) source and incoherently distributed(ICD) source is proposed.The differences among the point source,CD source and ICD source are studied.Acc... A novel identification method for point source,coherently distributed(CD) source and incoherently distributed(ICD) source is proposed.The differences among the point source,CD source and ICD source are studied.According to the different characters of covariance matrix and general steering vector of the array received source,a second order blind identification method is used to separate the sources,the mixing matrix could be obtained.From the mixing matrix,the type of the source is identified by using an amplitude criterion.And the direction of arrival for the array received source is estimated by using the matching pursuit algorithm from the vectors of the mixing matrix.Computer simulations validate the efficiency of the method. 展开更多
关键词 blind identification direction of arrivaldoa estimation distributed source amplitude criterion matching pursuit(MP).
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DOA estimation of wideband signals based on iterative spectral reconstruction 被引量:4
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作者 Shun He Zhiwei Yang Guisheng Liao 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2017年第6期1039-1045,共7页
In order to solve the problem of coherent signal subspace method(CSSM) depending on the estimated accuracy of signal subspace, a new direction of arrival(DOA) estimation method of wideband source, which is based on it... In order to solve the problem of coherent signal subspace method(CSSM) depending on the estimated accuracy of signal subspace, a new direction of arrival(DOA) estimation method of wideband source, which is based on iterative adaptive spectral reconstruction, is proposed. Firstly, the wideband signals are divided into several narrowband signals of different frequency bins by discrete Fourier transformation(DFT). Then, the signal matched power spectrum in referenced frequency bins is computed, which can form the initial covariance matrix. Finally, the linear restrained minimum variance spectral(Capon spectral) of signals in other frequency bins are reconstructed using sequential iterative means, so the DOA can be estimated by the locations of spectral peaks. Theoretical analysis and simulation results show the proposed method based on the iterative spectral reconstruction for the covariance matrices of all sub-bands can avoid the problem of determining the signal subspace accurately with the coherent signal subspace method under the conditions of small samples and low signal to noise ratio(SNR), and it can also realize full dimensional focusing of different sub-band data, which can be applied to coherent sources and can significantly improve the accuracy of DOA estimation. 展开更多
关键词 direction of arrival(doa) wideband source coherent source minimum variance spectral
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Determination of Direction of Arrival of Seismic Wave by a Single Tri-axial Fiber Optic Geophone 被引量:1
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作者 CHANG Tianying CUI Hongliang 《Defence Technology(防务技术)》 SCIE EI CAS 2013年第1期1-10,共10页
A fiber Bragg grating (FBG) geophone and a surface seismic wave-based algorithm for detecting the direction of arrival (DOA) are described. The operational principle of FBG geophone is introduced and illustrated with ... A fiber Bragg grating (FBG) geophone and a surface seismic wave-based algorithm for detecting the direction of arrival (DOA) are described. The operational principle of FBG geophone is introduced and illustrated with systematic experimental data, demonstrating an improved FBG geophone with many advantages over the conventional geophones. An innovative, robust, and simple algorithm is developed for obtaining the bearing information on the seismic events, such as people walking, or vehicles moving. Such DOA estimate is based on the interactions and projections of surface-propagating seismic waves generated by the moving personnel or vehicles with a single tri-axial seismic sensor based on FBGs. Of particular interest is the case when the distance between the source of the seismic wave and the detector is less than or comparable to one wavelength (less than 100 m), corresponding to near-field detection, where an effective method of DOA finding lacks. 展开更多
关键词 information processing fiber optic geophone direction of arrival (doa) tri-axial seismic wave sensing surface seismic wave
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SAGE-based algorithm for DOA estimation and array calibration in the presence of sensor location errors 被引量:1
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作者 XIONG Kunlai LIU Zhangmeng WANG Pei 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2019年第6期1074-1080,共7页
The direction of arrival(DOA) estimation problem in the presence of sensor location errors is studied and an algorithm based on space alternating generalized expectation-maximization(SAGE) is presented. First, the nar... The direction of arrival(DOA) estimation problem in the presence of sensor location errors is studied and an algorithm based on space alternating generalized expectation-maximization(SAGE) is presented. First, the narrowband case is considered.Based on the small perturbation assumption, this paper proposes an augmentation scheme so as to estimate DOA and perturbation parameters. The E-step and M-step of the SAGE algorithm in this case are derived. Then, the algorithm is extended to the wideband case. The wideband SAGE algorithm is derived in frequency domain by jointing all frequency bins. Simulation results show that the algorithm achieves good convergence and high parameter estimation precision. 展开更多
关键词 direction of arrival(doa) array calibration space alternating generalized expectation-maximization(SAGE) wide band signal.
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Super-resolution DOA estimation for correlated off-grid signals via deep estimator 被引量:1
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作者 WU Shuang YUAN Ye +1 位作者 ZHANG Weike YUAN Naichang 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2022年第6期1096-1107,共12页
This paper develops a deep estimator framework of deep convolution networks(DCNs)for super-resolution direction of arrival(DOA)estimation.In addition to the scenario of correlated signals,the quantization errors of th... This paper develops a deep estimator framework of deep convolution networks(DCNs)for super-resolution direction of arrival(DOA)estimation.In addition to the scenario of correlated signals,the quantization errors of the DCN are the major challenge.In our deep estimator framework,one DCN is used for spectrum estimation with quantization errors,and the remaining two DCNs are used to estimate quantization errors.We propose training our estimator using the spatial sampled covariance matrix directly as our deep estimator’s input without any feature extraction operation.Then,we reconstruct the original spatial spectrum from the spectrum estimate and quantization errors estimate.Also,the feasibility of the proposed deep estimator is analyzed in detail in this paper.Once the deep estimator is appropriately trained,it can recover the correlated signals’spatial spectrum fast and accurately.Simulation results show that our estimator performs well in both resolution and estimation error compared with the state-of-the-art algorithms. 展开更多
关键词 off-grid direction of arrival(doa)estimation deep convolution network(DCN) correlated signal quantization error SUPER-RESOLUTION
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Underdetermined DOA estimation and blind separation of non-disjoint sources in time-frequency domain based on sparse representation method 被引量:9
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作者 Xiang Wang Zhitao Huang Yiyu Zhou 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2014年第1期17-25,共9页
This paper deals with the blind separation of nonstation-ary sources and direction-of-arrival (DOA) estimation in the under-determined case, when there are more sources than sensors. We assume the sources to be time... This paper deals with the blind separation of nonstation-ary sources and direction-of-arrival (DOA) estimation in the under-determined case, when there are more sources than sensors. We assume the sources to be time-frequency (TF) disjoint to a certain extent. In particular, the number of sources presented at any TF neighborhood is strictly less than that of sensors. We can identify the real number of active sources and achieve separation in any TF neighborhood by the sparse representation method. Compared with the subspace-based algorithm under the same sparseness assumption, which suffers from the extra noise effect since it can-not estimate the true number of active sources, the proposed algorithm can estimate the number of active sources and their cor-responding TF values in any TF neighborhood simultaneously. An-other contribution of this paper is a new estimation procedure for the DOA of sources in the underdetermined case, which combines the TF sparseness of sources and the clustering technique. Sim-ulation results demonstrate the validity and high performance of the proposed algorithm in both blind source separation (BSS) and DOA estimation. 展开更多
关键词 underdetermined blind source separation (UBSS)time-frequency (TF) domain sparse representation methoditerative adaptive approach direction-of-arrival doa estimationclustering validation.
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Construction of deterministic sensing matrix and its application to DOA estimation 被引量:1
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作者 Yi Shen Yan Jing Naizhang Feng 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2016年第1期10-19,共10页
Compressive sensing(CS) has emerged as a novel sampling framework which enables sparse signal acquisition and reconstruction with fewer measurements below the Nyquist rate.An important issue for CS is the constructi... Compressive sensing(CS) has emerged as a novel sampling framework which enables sparse signal acquisition and reconstruction with fewer measurements below the Nyquist rate.An important issue for CS is the construction of measurement matrix or sensing matrix.A new deterministic sensing matrix,named as OOC-B,is proposed by exploiting optical orthogonal codes(OOCs),Bernoulli matrix and Singer structure,which has the entries of 0,+1 and-1 before normalization.We have proven that the designed deterministic matrix is asymptotically optimal.In addition,the proposed deterministic sensing matrix is applied to direction of arrival(DOA) estimation of narrowband signals by CS arrays(CSA)processing and CS recovery.Theoretical analysis and simulation results show that the proposed sensing matrix has good performance for DOA estimation.It is very effective for simplifying hardware structure and decreasing computational complexity in DOA estimation by CSA processing.Besides,lower root mean square error(RMSE) and bias are obtained in DOA estimation by CS recovery. 展开更多
关键词 deterministic sensing matrix optical orthogonal code(OOC) Bernoulli matrix compressive sensing(CS) direction of arrivaldoa).
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TOFS:一种新的宽带源DOA估计算法(英文) 被引量:10
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作者 于红旗 黄知涛 +1 位作者 刘剑 周一宇 《宇航学报》 EI CAS CSCD 北大核心 2007年第5期1304-1308,1313,共6页
介绍了一种新的宽带源DOA估计方法:TOFS。与TOPS(投影子空间正交性测试)方法类似,该方法通过同时测试频域各频段噪声子空间与阵列搜索流型之间的正交性来进行DOA估计。作为对比,根据非相关MUSIC方法,提出了一种新的适用于宽带的非相关MU... 介绍了一种新的宽带源DOA估计方法:TOFS。与TOPS(投影子空间正交性测试)方法类似,该方法通过同时测试频域各频段噪声子空间与阵列搜索流型之间的正交性来进行DOA估计。作为对比,根据非相关MUSIC方法,提出了一种新的适用于宽带的非相关MUSIC方法,称为I-MUSIC方法。与宽带相关方法不同,TOFS方法不需要任何初始值的预估。与宽带非相关方法也不相同,TOFS方法同时测试各频段噪声子空间与阵列搜索流型之间的正交性。仿真了TOFS与I-MUSIC、CSSM、TOPS的性能比较。仿真结果表明,CSSM方法在低信噪比时有较好的性能,TOFS方法在中等信噪比以上时,有较好的性能。同时,TOFS方法避免了TOPS方法中常常出现的伪峰。 展开更多
关键词 阵列信号处理 doa估计 子空间方法 宽带信号
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基于稀疏表示的OFDM信号的DOA估计
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作者 王志朝 张天骐 +1 位作者 万义龙 朱洪波 《计算机应用研究》 CSCD 北大核心 2013年第12期3716-3719,共4页
针对正交频分复用(OFDM),宽带信号波达方向(DOA)估计问题,提出一种基于宽带信号协方差矩阵稀疏表示的DOA估计方法。该方法是在协方差矩阵主对角线下对左下角三角形元素按各条对角线取平均值后形成一个新的向量,然后将该向量写成冗余字... 针对正交频分复用(OFDM),宽带信号波达方向(DOA)估计问题,提出一种基于宽带信号协方差矩阵稀疏表示的DOA估计方法。该方法是在协方差矩阵主对角线下对左下角三角形元素按各条对角线取平均值后形成一个新的向量,然后将该向量写成冗余字典形式。在冗余字典下对信号进行稀疏性约束形成二阶锥约束优化问题,再用工具箱SeDuMi来实现DOA估计。理论分析和仿真结果表明,该方法在低信噪比和少快拍数下分辨率很高,是一种有效的宽带信号DOA估计算法,此方法优于基于高阶累积量算法和宽带聚焦算法的DOA估计方法。 展开更多
关键词 正交频分复用信号 稀疏表示 冗余字典 二阶锥约束优化 doa估计
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三维稀疏阵列及其基于耦合张量分解的DOA估计
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作者 罗中华 左富豪 +1 位作者 樊棠怀 饶伟 《通信学报》 北大核心 2025年第6期270-284,共15页
为提高信号二维波达方向(DOA)估计性能,提出了一种三维稀疏阵列结构及其基于耦合张量分解的DOA估计方法。利用子阵信号的二阶统计量构建了一个虚拟的、在z轴方向阵元呈稀疏分布的“十”字形立体阵。分析表明,当阵列使用N^(3)/2+5N^(2)/2... 为提高信号二维波达方向(DOA)估计性能,提出了一种三维稀疏阵列结构及其基于耦合张量分解的DOA估计方法。利用子阵信号的二阶统计量构建了一个虚拟的、在z轴方向阵元呈稀疏分布的“十”字形立体阵。分析表明,当阵列使用N^(3)/2+5N^(2)/2+3(N为大于2的奇数)个物理阵元时,其对应的虚拟阵在x和y轴方向的阵列孔径均为(N^(3)+2N-1)d,在z轴方向的阵列孔径为(N^(3)+3N)d。为充分利用虚拟阵的大孔径来提升信号DOA估计性能,并消除z轴方向阵元间距大于d而引起的相位模糊,提出了借助耦合张量分解解决相位模糊并实现DOA估计的方法。理论分析和仿真结果表明,在相同的物理阵元数下,相较于现有三维阵列,由于新方法具有更大的阵列孔径从而具有更优的估计性能。 展开更多
关键词 二维波达方向估计 三维阵列 阵列孔径 耦合张量分解
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互耦及脉冲噪声下基于稀疏重构的鲁棒DOA估计算法
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作者 何从 刘帅 +1 位作者 闫锋刚 金铭 《系统工程与电子技术》 北大核心 2025年第8期2444-2453,共10页
针对互耦效应和脉冲噪声并存环境下的波达方向(direction of arrival,DOA)估计问题,提出一种结合M估计与稀疏重构的算法。首先,为了消除互耦效应的影响,依据互耦矩阵的托普利兹结构进行恒等变形,得到了不含未知互耦系数的字典。随后,为... 针对互耦效应和脉冲噪声并存环境下的波达方向(direction of arrival,DOA)估计问题,提出一种结合M估计与稀疏重构的算法。首先,为了消除互耦效应的影响,依据互耦矩阵的托普利兹结构进行恒等变形,得到了不含未知互耦系数的字典。随后,为了使算法能适应高斯噪声和不同强度的脉冲噪声,将位置得分函数表示为高斯位置得分函数和一系列非线性函数的线性组合,利用噪声样本估计线性组合系数从而建立损失函数。最后,采用迭代硬阈值算法进行稀疏重构,并通过改进信号更新策略提高正确收敛的概率。仿真结果表明,所提算法能有效抑制互耦效应和脉冲(高斯)噪声的干扰,同时相较已有算法在低信噪比、强脉冲特性下的性能有显著提升。 展开更多
关键词 波达方向估计 互耦 脉冲噪声 稀疏重构 M估计 迭代硬阈值
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