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Low-Complexity Matrix Reconstruction-Based Method for Direction Estimation of Coherent Signals

机译:基于低复杂性矩阵重建的相干信号的方向估计方法

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A novel direction finding method called Toeplitz matrix reconstruction-based orthonormal propagator method (TMR-OPM) is proposed for narrowband coherent signals impinging on a uniform linear array (ULA). In the proposed method, the coherency of incident signals is firstly decor related through reconstructing a Hermitian Toeplitz matrix formed from fourth-order cumulants (FOC). And in Gaussian noise case, it is proved theoretically that the rank of this Toeplitz matrix is determined merely by the number of incident sources and has no relations with the coherency of the signals. Finally, the coherent signals can be resolved by performing the orthonormal propagator method (OPM). Without spectrum-peak searching and eigenvalue decomposition (EVD) of the Toeplitz matrix, the presented method can provide significantly lower computational complexity and yield good estimation performance. The theoretical analysis and simulation results confirm the effectiveness and efficiency of the proposed method.
机译:提出了一种用于窄带撞击在一个均匀线性阵列(ULA)的相干信号称为托普利兹基于重建矩阵正交传播方法(TMR-OPM)一种新颖的测向的方法。在所提出的方法中,入射信号的相干性是首先通过重构从第四阶累积(FOC)形成的厄密共轭矩阵的Toeplitz相关的装饰。和高斯噪声的情况下,从理论上证明了该托普利兹矩阵的秩是由入射源的数目仅仅是确定并具有与所述信号的相关性无关。最后,相干信号可以通过执行标准正交传播方法(OPM)来解决。而不托普利兹矩阵的频谱峰值搜索和特征值分解(EVD),所提出的方法可以提供显著降低计算复杂度和产率良好估计性能。理论分析和仿真结果证实了该方法的有效性和效率。

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