随机布署平面传感器阵列实现色噪声下运动节点跟踪算法  

Moving nodes tracking algorithm realized in colored noise by randomly deployed planar sensor array

作　　者：聂卫科 朱从光[2] 房鼎益[1] 陈晓江[1] 冯大政[3] 

机构地区：[1]西北大学信息科学与技术学院,陕西西安710127 [2]中国电子科技集团公司第三十九研究所,陕西西安710065 [3]西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071

出　　处：《传感器与微系统》2014年第12期141-145,共5页Transducer and Microsystem Technologies

基　　金：国家自然科学基金资助项目(61373177);陕西省自然科学基金资助项目(2013JM8008);陕西省科技厅专项科研计划资助项目(11JK0903)

摘　　要：针对色噪声下的空间运动节点跟踪问题,提出一种新的辅助变量子空间跟踪算法。该算法采用秩1更新,构造两个无约束代价函数,求其递归最小二乘解跟踪信号子空间。得到信号子空间后,构造矩阵方程,通过最小二乘解实现空间运动节点的方向跟踪,所得空间二维角度能自动配对。在任意的平面传感器阵列下,所提算法和著名EIV-PAST算法均具有较好的节点跟踪性能,跟踪的信号子空间夹角和信号子空间误差较小,所提算法的正交性能显著优于EIV-PAST算法。A new subspace tracking algorithm based on instrumental variable is proposed to estimate the two dimension （2D） localization of aiming at tracking problem of spacial moving nodes in colored noise. By using the rank-one update model,two unconstrained cost functions are established, and signal subspace is derived through the recursive least square solution of the cost functions. Using this derived signal subspace, construct matrix equation and through lease square solution realize direction tracking of spacial moving node, the obtained 2D spacial angle can be paired automatically. In the case of arbitrary planar sensor array, the proposed algorithm and the well known EIV-PAST have good node tracking characteristics, signal subspace angle, signal subspace error are small, the orthonormality performance of proposed algorithm is much better than EIV-PAST algorithms.

关 键 词：节点定位 辅助变量 传感器阵列 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]