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基于虚拟阵列扩展的DOA估计 被引量:2

DOA Estimation Based on Virtual Array Extension
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摘要 讨论了基于虚拟阵列扩展的DOA估计问题,对此问题传统阵列处理方法主要利用高阶累积量进行阵列扩展,计算量较大。在四阶矩基础上,通过扩大阵列孔径和自由度解决信源数目较阵元数多的DOA估计问题,利用特殊矩阵对扩展阵列的冗余信息进行剔除,降低了计算复杂度,提高了计算效率。仿真结果验证算法高效可靠,为工程实现提供了理论基础。 The Direction-of-Arrival ( DOA) estimation problem based on virtual array extension is analyzed. For this problem, higher order statistics technique for array extension is a main way for traditional array processing method with a large amount of calculation. The proposed method is based on the fourth-order moments for estimating DOA of more source signals than array ele-ments. Computational complexity is reduced and the computational efficiency is improved by the special matrix array for extension to eliminate redundant information. The simulation verifies the algorithm is efficient and reliable, and provides a theoretical basis for engineering implementa-tion.
机构地区 电子工程学院
出处 《电子信息对抗技术》 2014年第5期32-35,39,共5页 Electronic Information Warfare Technology
关键词 阵列扩展 DOA估计 虚拟阵列 四阶矩 array extension DOA estimation virtual array fourth-order moments
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  • 1武思军,张锦中,张曙.基于四阶累积量进行阵列扩展的算法研究[J].哈尔滨工程大学学报,2005,26(3):394-397. 被引量:12
  • 2李广彪.基于四阶累积量的DOA估计方法[J].电子对抗技术,2005,20(5):15-18. 被引量:3
  • 3林刚,许家栋,樊寄松.对四阶累积量MUSIC算法的分析与应用[J].电波科学学报,2006,21(3):357-360. 被引量:3
  • 4陈建,王树勋.基于高阶累积量虚拟阵列扩展的DOA估计[J].电子与信息学报,2007,29(5):1041-1044. 被引量:22
  • 5BEKKENMAN I, TABRIKIAN J. Target Detection and Localization Using MIMO Radars and Sonars[J]. IEEE Transactions on Signal Processing,2006,54(10) :3873 - 3883.
  • 6FISHLER E, HAIMOVICH A, BLUM R S, et al. Spatial Diversity in Radars-Models and Detection Performance [J]. IEEE Transactions on Signal Processing, 2006, 54 (3) : 823 - 838.
  • 7LEHMANN N H, FISHLER E, HAIMOVICH A M, et al. Evaluation of Transmit Diversity in MIMO-Radar Direction Finding [ J ]. IEEE Transaction on Signal Processing, 2007, 55(5) : 2215 - 2225.
  • 8JIAN L, PETRE S. MIMO Radar with Colocated Antennas [J]. IEEE Transactions on Signal Processing, 2007, 24: 106 - 114.
  • 9XU L, LI Jian, PETRE S. Adaptive Techniques for MIMO Radar [ C ] // Processing 4th European Signal Processing conference, 2006 : 258 - 262.
  • 10ROY R, KAILATH T. ESPRIT-Estimation of Signal Parameters via Rotational Invariance Techniques [ J ]. IEEE Transaction on ASSP, 1989, 37(7) : 984 - 995.

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  • 1陈建,王树勋.基于高阶累积量虚拟阵列扩展的DOA估计[J].电子与信息学报,2007,29(5):1041-1044. 被引量:22
  • 2刘志刚,汪晋宽,王福利.虚拟空间平滑算法[J].电子学报,2007,35(9):1762-1765. 被引量:19
  • 3StephenB,LievenV.凸优化[M].王书宁,许望,黄晓霖,译.北京:清华大学出版社,2013:149-153.
  • 4SCHMIDT R O. Multiple Emitter Location And Signal Parameter Estimation [ J]. IEEE Transactions on An- tennas and Propagation. 1986,34 (3) :276-280.
  • 5SI Q, YIMIN D Z, MOENESS G A. Generalized Coprime Array Configurations For Direction Of Arrival Estimation [ J ]. IEEE Transactions on Signal Process- ing,2015,63 (6) :1377-1390.
  • 6PAL P, VAIDYANATHAN P P. Correlation- Aware Techniques for Sparse Support Recovery [ C ]//IEEE Statistical Signal Processing Workshop ( SSP), 2012 : 53 -56.
  • 7ZHANG Y D,AMIN M G,HIMED B. Sparsity-Based DOA Estimation Using Co- Prime Arrays [ C ]//IEEE ICASSP,2013:3967-3971.
  • 8SHEN Z B,DONG C X,DONG Y Yet al. Broadband DOA Estimation Based on Nested Arrays [ J ].Inter- national Journal of Antennas and Propagation,2015, 10(1) : 1-7.
  • 9姚永红,周天,李海森,徐剑.基于新型阵列结构的多波束SAS逐点成像算法研究[J].电子与信息学报,2011,33(4):838-843. 被引量:3
  • 10潘捷,周建江.基于凸优化的Khatri-Rao子空间宽带DOA估计[J].电子与信息学报,2013,35(1):80-84. 被引量:14

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