摘要
阵元间存在互耦时,会对阵列流型产生扰动,同时当空间来波存在相干信源时,协方差矩阵会产生秩亏,这两类问题都会使子空间类估计算法性能急剧下降甚至失效。针对互耦效应下的解相干问题,该文提出了一种仅利用阵列单快拍即可实现完全解相干和解互耦算法—互耦效应下的修正单次快拍算法(MC-ENDTOP)。该方法将原单快拍算法应用背景推广至任意形式来波信号,利用一次快拍构造等效接收数据协方差矩阵,通过数据分解,将互耦系数从阵列流型矩阵中剥离,从而实现了完全解互耦,并将其归入分解后的等效信号协方差矩阵中,由于等效信号协方差矩阵为对角阵,且对角元素与信号相关性无关,因此进一步实现了完全解相干。仿真验证了该文算法能够抑制互耦影响,估计性能和无互耦时相当,且适用于实时性要求高的场合。
The performance of subspace estimation algorithms degrades substantially in the presence of mutual coupling and coherent environments by the perturbance of steering matrix and the rank defect of covariance matrix In order to settle these issues, a novel modified single snapshot algorithm for decorrelation and decoupling using only single snapshot is proposed. The algorithm utilizes single snapshot to constitute equivalent receiving data covariance matrix, the mutual coupling cofficients can be isolated from steering matrix and be absorbed into equivalent signal covariance matrix by decomposing the equivalent receiving data covariance matrix, so the decoupling is accomplished. Equivalent signal covariance matrix is a diagonal matrix, and its diagonal elements are unrelated to the correlation of signals, so the decorrelation is accomplished. The simulation results show that the proposed algorithm can restrain mutual coupling and be applied to high calculation speed scenarios. The performance of the algorithm is equivalent to the performance of the algorithm without mutual coupling.
出处
《电子与信息学报》
EI
CSCD
北大核心
2012年第10期2532-2536,共5页
Journal of Electronics & Information Technology
基金
国家自然科学基金(60902054)
中国博士后科学基金(201003758
20090460114)
"泰山学者"建设工程专项经费资助课题
关键词
阵列信号处理
波达方向
互耦
解相干
参数估计
单快拍
Array signal peocessing
Direction Of Arrival （DOA）
Mutual coupling
Decorrelation
Parameterestimation
Single snapshot
