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DOA estimation of coherent signals based on matrix reconstruction

机译:基于矩阵重建的相干信号的DOA估计

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DOA estimation is an important part in the study about target precision locating. For the incoherent source signals, the conventional algorithms such as MUSIC have a good performance in processing for the estimation of the directions-of-arrival (DOA's). But when the signals are correlated, most of the conventional algorithms for incorrelate signals will fail in the estimation of DOA'S. A novel algorithm about the estimation of DOA's for correlated source signals is proposed in this paper. In the proposed algorithm, we reconstruct a new correlation matrix based on the original correlation matrix. The novel algorithm can accurately estimate the DOA's of the coherent incident signals without spatial smoothing processing compared with MMUSIC algorithm. For wide coherent signals, the proposed algorithm still has a good performance compared with ISM and CSM. Simulation results are presented in Section IV and Section V to illustrate the efficiency and accuracy of this method.
机译:DOA估计是研究目标精度定位研究的重要组成部分。对于不连贯的源信号,诸如音乐之类的传统算法具有良好的性能,用于估计到达方向(DOA)。但是,当信号相关时,大多数用于臭不均匀信号的传统算法将在DOA的估计中失败。本文提出了一种关于与相关源信号进行相关源信号的新颖算法。在所提出的算法中,我们基于原始相关矩阵重建新的相关矩阵。与MMUSIC算法相比,新颖的算法可以准确地估计在没有空间平滑处理的情况下的相干入射信号的DOA。对于广泛的相干信号,与ISM和CSM相比,所提出的算法仍然具有良好的性能。仿真结果显示在第四节和第V节中,以说明该方法的效率和准确性。

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