递推最小二乘算法在新型无源探测系统中的应用  

Application of recursive least square in single station passive location

作　　者：刁鸣[1] 刘玫[1] 成洁[1] 

机构地区：[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001

出　　处：《系统工程与电子技术》2006年第6期801-803,888,共4页Systems Engineering and Electronics

基　　金：国防基础科研基金资助课题(K1503060217)

摘　　要：针对新型无源探测系统的要求,在原有最小二乘算法的基础上,为缩短定位时间,减少运算量,提出了递推最小二乘算法。同时引入自适应卡尔曼滤波算法对原始定位结果进行了处理。多次计算机仿真结果表明该算法有效地提高了定位的实时性、可靠性和定位精度,能够满足新型无源探测系统的技术要求。To aim at the requirements of the Novel Passive Detecting Radar System on the basis of the existing algorithm of the least squares, for shortening the locating time and the computation, a new recursive least squares （RLS） algorithm is advanced. At the same time the adaptive Kalman filter algorithm is introduced to process the initial locating results. Computer simulations show that the algorithm is effectualy improves the locating characteristics of real-time,reliability and precision, and can satisfy the requirements of the novel passive detecting radar system.

关 键 词：无源定位 递推最小二乘 自适应卡尔曼滤波 

分 类 号：TP202[自动化与计算机技术—检测技术与自动化装置]