CAJ | 학술논문

提出了一种基于联合对角化的近场源频率、到达角（DOA）和距离的联合估计算法。首先利用二阶统计量构造白化矩阵，再基于白化后的接收数据构造一组高阶累积量矩阵，利用联合对角化方法来得到高阶累积量矩阵的对角结构信息以及对角化矩阵来分别估计阵列流形和信号源的频率，进而由阵列导向矢量结合对应的信号源频率联合估计信号源的到达方向和距离。与基于高阶累积量的类 ESPRIT方法相比，算法可以提高阵元利用率，具有更好的估计效果，同时不需要谱峰搜索且各参数自动配对，计算机仿真结果验证了该方法的有效性。
제출료일충기우연합대각화적근장원빈솔、도체각（DOA）화거리적연합고계산법。수선이용이계통계량구조백화구진，재기우백화후적접수수거구조일조고계루적량구진，이용연합대각화방법래득도고계루적량구진적대각결구신식이급대각화구진래분별고계진렬류형화신호원적빈솔，진이유진렬도향시량결합대응적신호원빈솔연합고계신호원적도체방향화거리。여기우고계루적량적류 ESPRIT방법상비，산법가이제고진원이용솔，구유경호적고계효과，동시불수요보봉수색차각삼수자동배대，계산궤방진결과험증료해방법적유효성。
A new algorithm to jointly estimate the frequency,direction-of-arrival(DOA)and range of near field sources is presented.Firstly,the whiten matrix is constructed by using the second order statistics, and a set of higher-order cumulant matrices are devised.Then the array steering matrix and the source fre-quency of near-field sources are estimated from the higher-order cumulant matrices'structural information, which is achieved by using the technology of joint diagonalization of the cumulant matrices.Thus the DOA and range can be estimated via combining the array steering vectors and sources'frequency.Compared with the ESPRIT-like method based on high-order statistics,the algorithm can improve the efficiency of elements and get better performance.In addition,it doesn't need spectral peak searching or parameters pairing,the ef-fectiveness of the proposed algorithm is verified by computer simulation results.