火力与指挥控制2012，Vol.37Issue(6)：152-156,5.
运动目标DOA自适应跟踪算法
Research on Self Adaptive Tracking Algorithm Based on Mobile Tracking DOA
赵汇强 1张玉萍 2全厚德1
作者信息
- 1. 军械工程学院,石家庄050003
- 2. 河北科技大学理工学院,石家庄050031
- 折叠
摘要
Abstract
In the battlefield area mobile communication system, the command center aims at the direction of the war party wave real time with its main wave beam and regards other direction wave as interference to place zero sink. The measure not only improves the anti-interference ability of the communication network hut also positions the combat unit. The wave beam ought to track the change of the mobile user position real time in the smart antenna technology. The user position is gotten by estimating the DOA of user signal in the tracking procedure, but some classic algorithms example for MUSIC, ESPRIT tracking. Because these algorithms have to repeatedly decompose the received data covariance matrix to get the eigenvalue and singular decompo sition value and characteristic vector when the new signal is received, the procedure costs large amount of time. Aiming at this problem, the paper advances the Kalman filter tracking algorithm based on the signal subspace self adaptative tracking theory directly abstracts the DOA update from the signal subspace and has no use for the data covariance matrix. The simulation result indicates the algorithm not only degrades the calculation but also has the ability of tracking mulit-user DOA.关键词
智能天线/DOA跟踪/信号子空间跟踪/卡尔曼滤波Key words
smart antenna/DOA tracking/signal space tracking/kalman filter分类
信息技术与安全科学引用本文复制引用
赵汇强,张玉萍,全厚德..运动目标DOA自适应跟踪算法[J].火力与指挥控制,2012,37(6):152-156,5.
