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DFT在二维DOA估计的MUSIC法中的应用

Application of DFT In the 2-D DOA Evaluation of MUSIC
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摘要 波达方向DOA估计(DirectionOfArrival)广泛应用于各种空间滤波系统中,而MUSIC算法是DOA估计中的经典和实用的算法.但由于算法中需要进行各种矩阵运算,其计算量相当大.笔者提出了在阵元数为2i的均匀圆阵中,利用数据的循环特性,采用DFT(DiscreteFourierTransform)的计算方法,完成MUSIC法的空间谱函数二维谱峰搜索.同时,分析了该方法相对于传统MUSIC法谱峰搜索时计算量的改进,给出了仿真结果.改进后的MUSIC算法计算量可以减少到传统算法计算量的一半. In many special filtering system, the direction of arrival(DOA) should be evaluated for the received signal. MUSIC algorithms is a classic one and is applied widely, but its computing load is very large because there exist many transforms of matrix. As the number of uniform circle is, the data are cyclic in the searching of peak in MUSIC algorithm for 2-D evaluation of DOA. The authors discuss how to use simulation of performance shows that the proposed algorithm the project reality. DFT to reduce the computation load. At the same time, the improves the efficiency by fifty percent, that is important for the project reality.
出处 《重庆大学学报(自然科学版)》 EI CAS CSCD 北大核心 2005年第8期68-70,78,共4页 Journal of Chongqing University
基金 重庆市应用基础项目(305123253) 重庆大学研究生教育创新基金资助项目(040311)
关键词 二维DOA估计 MUSIC法 离散傅里叶变换 计算量 2-D evaluation of DOA MUSIC DFT computation load
作者简介 曾浩(1977-),男,四川泸州人,重庆大学博士研究生,研究方向:阵列信号处理,软件无线电技术。
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