CAJ | 학술논문

对加权空间平滑算法计算加权因子时需要预估计信源方向的问题，提出了一种新的相干信源波达方向估计的加权空间平滑算法。在计算加权矩阵时不需要知道信源的先验信息，也不需要预估计信源方向，而是对原始阵列进行特殊结构的子阵划分，结合子阵间的自、互相关矩阵对角度估计的贡献不同，采用嵌套的空间平滑算法得到加权矩阵，从而实现相干信源的解相干和波达方向估计。本文算法相比原算法具有更优的加权因子、更好的解相干性能、更高的角度分辨率和角度估计的准确性。理论分析和仿真结果表明新算法的有效性。
대가권공간평활산법계산가권인자시수요예고계신원방향적문제，제출료일충신적상간신원파체방향고계적가권공간평활산법。재계산가권구진시불수요지도신원적선험신식，야불수요예고계신원방향，이시대원시진렬진행특수결구적자진화분，결합자진간적자、호상관구진대각도고계적공헌불동，채용감투적공간평활산법득도가권구진，종이실현상간신원적해상간화파체방향고계。본문산법상비원산법구유경우적가권인자、경호적해상간성능、경고적각도분변솔화각도고계적준학성。이론분석화방진결과표명신산법적유효성。
The weighted spatial smoothing (WSS) algorithm requires preliminary estimate direction‐of‐ar‐rival of coherent signals in the calculation of weight factors . Here a new improved weighted spatial smoothing (IWSS) technique for the direction‐of‐arrival estimation of coherent signals is proposed .It di‐vides the array into several sub‐arrays with special structure ,according to the different contribution to di‐rection‐of‐arrival estimation between the autocorrelation matrix and the cross correlation matrix .Nested spatial smoothing algorithm is applied to gain the weight matrix to decorrelate and estimate the direction‐of‐arrival of coherent source signals .In contrast to the WSS method ,the higher decorrelation perform‐ance and angel resolution are also obtained without a priori information and preliminary estimate angle value .Theoretical analysis and simulation results demonstrate the correctness and validity of the new al‐gorithm .