宽带谱相关时空DOA矩阵方法

Wideband spectral correlation space-time DOA matrix method

本文提出了一种新的基于信号时空特征结构的二维DOA估计方法———宽带谱相关时空DOA矩阵方法。该方法利用信号的循环平稳特性实现了对宽带信号的有效处理 ,同时通过空时变换将传统的一维空域处理拓展到了二维空时处理 ,更充分地利用了信号的时域特征 ,从而大大简化了阵列结构 ,提高了算法的性能。理论分析与仿真结果表明 ,该方法既继承了循环平稳方法在谱估计方面的优势 ,又具有原DOA矩阵方法无需二维谱峰搜索和参数配对的特点。

Based on the decomposition of the space time eigenstructure of signals,a novel wideband spectral correlation space time DOA matrix method is proposed in this paper to estimate the 2 D DOA of wideband signals.The method is capable of processing the wideband signals effectively via cyclostationarity,and extends the traditional 1 D spatial process to 2 D space time process,which means more efficient exploitation of temporal information of the signals.Therefore the constraint over the array configuration can be significantly weakened and the performance of the algorithm is also improved.The theoretical analysis and simulation results show that the methods not only inherits the advantages of cyclic DOA estimation methods in spatial spectral estimation,but also possesses the same features as the DOA matrix method,i.e., 2 D search or parameter alignment is no longer needed.