摘要
提出了一种近场方位和距离联合估计的无源定位算法。根据阵列信号协方差矩阵的Toeplitz特性,重构出只与信源方位角相关的近似远场协方差矩阵。对该协方差矩阵做子空间分解,通过方位估计的求根MUSIC算法得到对信源的方位角估计值;对信源距离的估计,定义了一种新的空间谱函数,仅通过一次一维搜索便可以得到所有距离谱峰;再将方位和距离配对进行简单的配对操作即完成信源的定位。最后通过计算机仿真验证了该算法的有效性。
The bearing and range estimation of near-field sources is studied and a new localization method is presented.In our proposed algorithm,by exploiting the Toeplitz property of covariance matrix with far-field sources,we reconstruct a far-field approximate covariance matrix in relation with the bearing in signal subspace only,which allows for the bearing estimation using the generalized far-field Root MUSIC algorithm.With the estimated bearing,the range estimation of all sources is consequently obtained in one time search by defining a novel 1-D MUSIC spectrum.The method has the merits of good estimation precision,and its effectiveness is approved by the simulation results.
出处
《红外与激光工程》
EI
CSCD
北大核心
2007年第z2期610-613,共4页
Infrared and Laser Engineering
关键词
近场
无源定位
Near-field
Passive localization
作者简介
刘鸿博(1983-)男,河南安阳人,研究生,主要研究方向为阵列信号处理和自适应信号处理.Email:kyokko@163.com
陈福深(1945-)男,四川成都人,教授,博士生导师,主要研究方向为光波导理论和光电传感理论.Email:fschen@uestc.edu.cn
