空间高阶时频分布及虚拟时频ESPRIT算法

基于L-Wignrer分布(LWD),定义了一种全新的空间高阶累积量L-Wigner分布,并利用虚拟时频ESPRIT算法与阵列扩展,提出了一种多个多项式相位信号(PPS)的DOA估计算法.该方法利用平滑的伪WVD分布以实现PPS信号的LWD分布极大地抑制了其中的交叉项并提高了信号时频聚集性.同时,将时频分析与高阶累积量结合,使算法具有虚拟阵列扩展的特点,高分辨高精度的估计了PPS信号的DOA.理论分析和计算机仿真表明该方法具有很好的参数估计性能.

Spatial higher order time-frequency distribution and virtual time-frequency ESPRIT algorithm

A new spatial higher order cumulant L-Wigner distribution based on L-Wigner distribution (LWD) is defined, and a scheme of DOA estimation for multiple PPS signals is presented by employing virtual time-frequency ESPRIT algorithm with extended array. The LWD of PPS signals can be obtained by smoothing pseudo WVD to suppress the cross-term and improve the time-frequency concentrativity. Meanwhile, time-frequency analysis combined with high order cumulant, the scheme exhibits the property of virtual extended array. Thus, the high precision and high resolution DOA estimation can be implemented. Theoretical analysis and simulation show the high performance of the proposed method.