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针对二维旋转不变子空间算法(estimation of signal parameters via rotational invariance technigues,ESPRIT)在求解信号时协方差矩阵存在阵列冗余问题,提出一种改进后的二维ESPRIT算法。该算法利用阵列结构原理构造2个互相关矩阵,然后由合并的特殊大矩阵进行奇异值分解来估计信号子空间,最后利用2D-ESPRIT方法实现二维测向。该算法估计精度高,计算量小,通过空间平滑后既能对相干信号进行估计,也能同时估计非相干信号。
Aiming at the problem of array redundancy in the covariance matrix when the signal of ESPRIT is solved, an improved two-dimensional ESPRIT algorithm is proposed for the estimation of signal parameters via rotational invariance techniques. The algorithm constructs two cross-correlation matrices using the principle of array structure, and then estimates the signal subspace by the singular value decomposition of a special large matrix combined with 2D-ESPRIT method. The proposed algorithm has high estimation accuracy and low computational complexity. It estimates both the coherent signal and the non-coherent signal after spatial smoothing.