基于非相干信号子空间(ISM)的宽带源DOA估计方法我要分享

Based on the coherent signal subspace method for wideband source DOA estimation (ISM)

MUSIC DOA 宽带阵列信号 波达方向估计 色噪声 信号子空间 聚焦矩阵 ISM

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代码分类: 信号处理

开发平台: matlab

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代码描述

中文说明:

首先分析了基于非相干信号子空间(ISM)的宽带源DOA估计方法,并将基于数 据阵共轭重构的修正MUSIC算法应用于ISM方法中,提高了分辨能力而且可以分 辨相干信源。接下来讨论了相干信号子空间(CSM)方法的宽带相干源DOA估计, 分析了聚焦矩阵及聚焦频率对DOA估计性能的影响,给出了最佳聚焦矩阵的选择 标准和最佳聚焦频率的选择方法。 针对色噪声环境下宽带信号的波达方向估计,研究了将传播算子思想应用于 TCT聚焦矩阵的相干信源DOA估计新方法。该方法基于传播算子思想,直接利用 阵列接收信号估计噪声相关矩阵,得到一种快速TCT聚焦矩阵。从而提高了色噪声 环境下宽带信号DOA估计的性能,传播算子的应用避免了TCT算法中复杂的特征 分解,降低了运算量。通过计算机仿真证明了新方法的有效性和可行性。
(DOA  MUSIC)


English Description:

Firstly, the wideband source DOA estimation method based on incoherent signal subspace (ISM) is analyzed, and the modified MUSIC algorithm based on conjugate reconstruction of data array is applied to ism method, which improves the resolution and can distinguish coherent sources. Next, the DOA estimation of wideband coherent sources based on coherent signal subspace (CSM) method is discussed. The influence of focusing matrix and focusing frequency on DOA estimation performance is analyzed. The selection criteria of optimal focusing matrix and the selection method of optimal focusing frequency are given. For the direction of arrival (DOA) estimation of wideband signals in colored noise environment, a new method of coherent source DOA estimation based on TCT focusing matrix is studied. Based on the idea of propagator, a fast TCT focusing matrix is obtained by estimating the noise correlation matrix directly from the received array signals. Thus, the performance of DOA estimation of wideband signals in colored noise environment is improved. The application of propagator avoids the complex feature decomposition in TCT algorithm and reduces the computational complexity. The effectiveness and feasibility of the new method are proved by computer simulation. (DOA MUSIC)


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