基于ESPRIT的ULA波达方向估计改进算法

针对MUSIC(Multiple Signal Classification)算法和ESPRIT(Estimated Signal Parameters via Rotational -Invariance- Technique)算法不能有效估计相干信源波达方向的问题, 在修正MUSIC算法（Modified MUSIC）基础上, 通过引用变换矩阵, 在考虑阵列接收数据及其相应变换矩阵的自相关和互相关信息后, 结合总体最小二乘算法TLS-ESPRITS（Total Least-Squares ESPRIT）提出了能同时适应相干和非相干信号情况的波达方向估计的改进ESPRIT算法（IM-ESPRIT: Improved ESPRIT), 并在相干信号源来波角度间隔较小和低信噪比条件下, 同常规CC-ESPRIT(Cross ESPRIT)算法进行比较。结果表明, 当相干信源角度间隔为3°且信噪比为0时, 实现波达方向估计具有较好的估计精度和分辨率。

DOA Estimation Improved Algorithm for ULA Based on ESPRIT Algorithm

MUSIC (Multiple Signal Classification) algorithm and ESPRIT (Estimated Signal Parameters via Rotational Invariance Technique) algorithm can not effectively achieve DOA (Direction of Anival) estimation of the coherent sources. Based on MMUSIC (Modified MUSIC), introducing the transformation matrix and considering the autocorrelation and cross-autocorrelation of the array output and the corresponding transformed matrix, and combined with TLS-ESPRIT (Total Least-Squares ESPRIT) algorithm, an IM-ESPRIT (Improved ESPRIT)algorithm that is suitable for the two cases of the non-coherent and coherent sources has been proposed. Compared with the conventional CC-ESPRIT algorithm (Cross ESPRIT algorithm), when the angle of coherent source interval is 3° and signal-to-noise ratio of 0, DOA estimation is realized. It is shown by the numerical simulation that IM-ESPRIT algorithm has a better estimation accuracy under the condition of the small angle interval of the coherent sources and lower SNR.