【摘要】 针对MUSIC(Multiple Signal Classification)算法和ESPRIT(Estimated Signal Parameters via RotationalInvariance 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。更多还原

【Abstract】 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.更多还原