Adaptive detection of range-spread targets is considered in the presence of subspace interference plus Gaussian clutter with unknown covariance matrix.The target signal and interference are supposed to lie in two line...Adaptive detection of range-spread targets is considered in the presence of subspace interference plus Gaussian clutter with unknown covariance matrix.The target signal and interference are supposed to lie in two linearly independent subspaces with deterministic but unknown coordinates.Relying on the two-step criteria,two adaptive detectors based on Gradient tests are proposed,in homogeneous and partially homogeneous clutter plus subspace interference,respectively.Both of the proposed detectors exhibit theoretically constant false alarm rate property against unknown clutter covariance matrix as well as the power level.Numerical results show that,the proposed detectors have better performance than their existing counterparts,especially for mismatches in the signal steering vectors.展开更多
随着数字射频存储器(digital ratio frequency memory,DRFM)的成熟发展与广泛应用,基于DRFM的相干转发干扰成为当前雷达干扰技术的主流。相干转发干扰具有转发效率高、相干性强等突出优势,并且在数字域的处理算法灵活高效,能够产生复杂...随着数字射频存储器(digital ratio frequency memory,DRFM)的成熟发展与广泛应用,基于DRFM的相干转发干扰成为当前雷达干扰技术的主流。相干转发干扰具有转发效率高、相干性强等突出优势,并且在数字域的处理算法灵活高效,能够产生复杂多样的干扰效果。但经过大量实践发现,当需要产生大范围连片干扰效果时,若干扰机采用密集转发,不但使DRFM运算量急剧增加,而且会破坏恒模约束,导致干扰机功放效率严重下降。基于该情况,本文提出了线性调频(linear frequency modulation,LFM)雷达信号的拉伸变换干扰方法:在数字域对雷达信号的脉宽、带宽分别压缩、展宽,即拉伸变换,再将其辐射至雷达接收机。拉伸信号经匹配滤波处理后,会呈现大范围连片相干干扰效果,干扰效果受拉伸变换因子影响,灵活可调,且拉伸变换干扰满足恒模约束。展开更多
A switching variability index （SVl） constant false alarm rate （CFAR） detector is proposed for improving the detection performance of VI-CFAR detectors in multiple targets backgrounds. When the presence of non-homo...A switching variability index （SVl） constant false alarm rate （CFAR） detector is proposed for improving the detection performance of VI-CFAR detectors in multiple targets backgrounds. When the presence of non-homogeneity in CFAR reference windows is indicated by a VI-CFAR detector, a switching- CFAR detector is introduced to optimize the performance of the VI-CFAR detector in homogeneous, multiple targets and clutter edge backgrounds. The structure and parameters selection method of the SVI-CFAR detector is presented. Comparisons with classic CFAR detectors and recently proposed detectors are also given. Theoretical analysis and simulation results show that SVICFAR detector maintains the good performance of the VI-CFAR detector in homogeneous and clutter edge backgrounds, while greatly improving the capacity of anti-multi targets.展开更多
The traditional clutter map constant false alarm rate (CM-CFAR) detector is affected by interference and self-masking[1] which will cause the low probability of detection. To solve these problems, a novel algorithm na...The traditional clutter map constant false alarm rate (CM-CFAR) detector is affected by interference and self-masking[1] which will cause the low probability of detection. To solve these problems, a novel algorithm named clutter map CFAR with amplitude limiter (ALCM-CFAR) is proposed, in which the amplitude of the input signal is limited by a filter. The simulation results prove the effectiveness of ALCM-CFAR algorithm.展开更多
针对宽带雷达检测门限值设置难度大、系统复杂度高、实时性差等问题,提出了一种UWB-SOSCA(Ultra-Wide Band-Smallest of Ordered Statistics and Cell Average)检测算法。该算法主要包括多相滤波、SOSCA恒虚警检测和二元积累。其中,多...针对宽带雷达检测门限值设置难度大、系统复杂度高、实时性差等问题,提出了一种UWB-SOSCA(Ultra-Wide Band-Smallest of Ordered Statistics and Cell Average)检测算法。该算法主要包括多相滤波、SOSCA恒虚警检测和二元积累。其中,多相滤波将宽带信号划分为多个子信道,降低通道速率;SOSCA恒虚警检测分别对各子信道进行自适应门限调整,提高各子信道检测概率;二元积累对各子信道的检测结果进行时域联合,优化宽带时域连续检测性能。实验结果表明,在信噪比等于7.33 dB,虚警概率为10~(-5)时,SOSCA恒虚警检测算法与传统恒虚警算法相比,检测概率可提升14%;当多相滤波输入信噪比为-5 dB时,UWB-SOSCA算法的宽带线性调频信号脉冲宽度测量偏差优于6.5 ns。该算法具有大监视带宽、大动态范围和高检测概率,可广泛应用于侦察接收机的雷达侦测工作。展开更多
基金supported by the National Natural Science Foundation of China(61971432)Taishan Scholar Project of Shandong Province(tsqn201909156)the Outstanding Youth Innovation Team Program of University in Shandong Province(2019KJN031)。
文摘Adaptive detection of range-spread targets is considered in the presence of subspace interference plus Gaussian clutter with unknown covariance matrix.The target signal and interference are supposed to lie in two linearly independent subspaces with deterministic but unknown coordinates.Relying on the two-step criteria,two adaptive detectors based on Gradient tests are proposed,in homogeneous and partially homogeneous clutter plus subspace interference,respectively.Both of the proposed detectors exhibit theoretically constant false alarm rate property against unknown clutter covariance matrix as well as the power level.Numerical results show that,the proposed detectors have better performance than their existing counterparts,especially for mismatches in the signal steering vectors.
文摘随着数字射频存储器(digital ratio frequency memory,DRFM)的成熟发展与广泛应用,基于DRFM的相干转发干扰成为当前雷达干扰技术的主流。相干转发干扰具有转发效率高、相干性强等突出优势,并且在数字域的处理算法灵活高效,能够产生复杂多样的干扰效果。但经过大量实践发现,当需要产生大范围连片干扰效果时,若干扰机采用密集转发,不但使DRFM运算量急剧增加,而且会破坏恒模约束,导致干扰机功放效率严重下降。基于该情况,本文提出了线性调频(linear frequency modulation,LFM)雷达信号的拉伸变换干扰方法:在数字域对雷达信号的脉宽、带宽分别压缩、展宽,即拉伸变换,再将其辐射至雷达接收机。拉伸信号经匹配滤波处理后,会呈现大范围连片相干干扰效果,干扰效果受拉伸变换因子影响,灵活可调,且拉伸变换干扰满足恒模约束。
基金supported by the National Natural Science Foundation of China(61102158)the China Postdoctoral Science Foundation(2011M500667)
文摘A switching variability index （SVl） constant false alarm rate （CFAR） detector is proposed for improving the detection performance of VI-CFAR detectors in multiple targets backgrounds. When the presence of non-homogeneity in CFAR reference windows is indicated by a VI-CFAR detector, a switching- CFAR detector is introduced to optimize the performance of the VI-CFAR detector in homogeneous, multiple targets and clutter edge backgrounds. The structure and parameters selection method of the SVI-CFAR detector is presented. Comparisons with classic CFAR detectors and recently proposed detectors are also given. Theoretical analysis and simulation results show that SVICFAR detector maintains the good performance of the VI-CFAR detector in homogeneous and clutter edge backgrounds, while greatly improving the capacity of anti-multi targets.
基金This project was supported by the National Natural Science Foundation of China (60232010).
文摘The traditional clutter map constant false alarm rate (CM-CFAR) detector is affected by interference and self-masking[1] which will cause the low probability of detection. To solve these problems, a novel algorithm named clutter map CFAR with amplitude limiter (ALCM-CFAR) is proposed, in which the amplitude of the input signal is limited by a filter. The simulation results prove the effectiveness of ALCM-CFAR algorithm.
