J4 ›› 2013, Vol. 40 ›› Issue (6): 32-38+57.doi: 10.3969/j.issn.1001-2400.2013.06.006

• 研究论文 • 上一篇    下一篇

异步多基地雷达系统目标跟踪的功率分配算法

严俊坤;夏双志;戴奉周;刘宏伟;保铮   

  1. (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)
  • 收稿日期:2012-08-21 出版日期:2013-12-20 发布日期:2014-01-10
  • 通讯作者: 严俊坤
  • 作者简介:严俊坤(1987-),男,西安电子科技大学博士研究生,E-mail:jkyan@stu.xidian.edu.cn.
  • 基金资助:

    国家自然科学基金资助项目(61271291,61201285);新世纪优秀人才支持计划资助项目(NCET-09-0630);全国优秀博士学位论文作者专项资金资助项目(FANEDD-201156)

Power allocation strategy for target tracking in asynchronous multistatic radar systems

YAN Junkun;XIA Shuangzhi;DAI Fengzhou;LIU Hongwei;BAO Zheng   

  1. (National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an  710071, China)
  • Received:2012-08-21 Online:2013-12-20 Published:2014-01-10
  • Contact: YAN Junkun

摘要:

提出了一种针对异步多基地雷达系统目标跟踪的功率分配算法,目的是合理分配系统有限的功率资源,以提高目标的跟踪精度.引入了一种集中式融合框架下最优的异步目标跟踪算法,并推导了该算法目标跟踪误差的贝叶斯克拉美罗下界.将该下界作为代价函数进行功率分配,并用凸松弛方法结合梯度投影算法对此非凸优化问题进行了求解.仿真实验表明,相对于不进行功率分配的情况,笔者提出的功率分配方法能明显提高目标的跟踪精度.

关键词: 多基地雷达, 异步, 目标跟踪, 功率分配, 贝叶斯克拉美罗下界

Abstract:

A power allocation scheme for target tracking in asynchronous multistatic radar systems (MSRS) is proposed. An optimal centralized method for asynchronous target tracking is first introduced with the derivation of the Bayesian Cramer-Rao lower bound (BCRLB) on the target tracking mean square error (MSE). Then, the BCRLB is utilized as a criterion for the power allocation strategy. The resulting nonconvex optimization problem is solved by the integration of convex relaxation with the gradient projection algorithm. Simulation results demonstrate that equal allocation of the predetermined power budget is not necessarily the best choice and that the tracking accuracy can be greatly improved by the proposed power allocation algorithm.

Key words: multistatic radars, asynchronous, target tracking, power allocation, Bayesian Cramer-Rao lower bound

中图分类号: 

  • TN953+.7