CAJ | 학술논문

提出一种新的基于样本协方差矩阵稀疏表示的联合波达方向估计方法。该方法对传统的基于协方差矩阵稀疏表示的模型进行改进,仅利用协方差矩阵的部分信息来进行波达方向估计,无须已知噪声功率,以极小的孔径损失换取算法的稳健性。虽然是基于样本统计信息(即协方差矩阵)的波达方向估计方法,但是其原理与传统的角度高分辨估计方法(MUSIC,CAPON)不同,该算法对具有任意相关性的信号源能进行有效的波达方向估计,不需要进行去相关处理,且具有很高的分辨力及估计精度。
제출일충신적기우양본협방차구진희소표시적연합파체방향고계방법。해방법대전통적기우협방차구진희소표시적모형진행개진,부이용협방차구진적부분신식래진행파체방향고계,무수이지조성공솔,이겁소적공경손실환취산법적은건성。수연시기우양본통계신식(즉협방차구진)적파체방향고계방법,단시기원리여전통적각도고분변고계방법(MUSIC,CAPON)불동,해산법대구유임의상관성적신호원능진행유효적파체방향고계,불수요진행거상관처리,차구유흔고적분변력급고계정도。
A direction of arrival (DOA) estimation method based on a new sparse representation model of the covariance matrix is proposed.Without requiring the prior-knowledge on the noise level,the proposed method only utilizes partial information on the covariance matrix for the DOA estimation and provides robustness to noise at the cost of a tiny aperture loss.Although the proposed method is based on the statistical information on samples (i.e.,covariance matrix),its principle is different from that of the traditional high-resolution DOA estimation methods (e.g.,MUSIC,CAPON).The proposed method can effectively distinguish the signal sources with any coherence without decorrelation processing.