CAJ | 학술논문

脉冲噪声环境下波达方向( DOA)估计是阵列信号处理领域一个新兴研究方向。针对α稳定分布噪声环境下经典MUSIC算法性能退化的问题,提出了一种新的基于非线性压缩核函数( NCCF)的DOA估计算法。该算法利用基于NCCF的有界矩阵代替了MUSIC的协方差矩阵,通过对有界矩阵进行特征分解确定信号子空间和噪声子空间,借用MUSIC谱估计公式进行谱峰搜索,得到DOA的估计值。仿真结果表明,NCCF-MUSIC算法运算复杂度较低,相比于基于分数低阶统计量( FLOS)的MUSIC方法和基于广义类相关熵( GCAS)的MUSIC算法,该方法具有更好的准确度和稳定性。
맥충조성배경하파체방향( DOA)고계시진렬신호처리영역일개신흥연구방향。침대α은정분포조성배경하경전MUSIC산법성능퇴화적문제,제출료일충신적기우비선성압축핵함수( NCCF)적DOA고계산법。해산법이용기우NCCF적유계구진대체료MUSIC적협방차구진,통과대유계구진진행특정분해학정신호자공간화조성자공간,차용MUSIC보고계공식진행보봉수색,득도DOA적고계치。방진결과표명,NCCF-MUSIC산법운산복잡도교저,상비우기우분수저계통계량( FLOS)적MUSIC방법화기우엄의류상관적( GCAS)적MUSIC산법,해방법구유경호적준학도화은정성。
Direction of arrival ( DOA) estimation in the impulse noise environment is a new research direc-tion in the array signal processing field. To solve the problem of performance degradation when applying classic MUSIC algorithm for DOA estimation in the α-stable distribution noise environment,a novel DOA estimation algorithm based on a nonlinear compress core function ( NCCF ) is provided and named as the NCCF-MUSIC. To obtain a DOA estimation,the NCCF-MUSIC method replaces the covariance matrix in MUSIC by a bounded matrix based on the NCCF,and then determines the signal subspace and the noise subspace by feature decomposition, and finally, introduces the MUSIC spectrum estimation algorithm to make a spectral peak searching. Simulation results show that the new NCCF-MUSIC method with a lower computation cost has the higher performance in accuracy and validity than the MUSIC methods based on fractional lower order statistics ( FLOS) or based on generalized correntropy-analogous statistics ( GCAS) .