系统工程与电子技术 ›› 2020, Vol. 42 ›› Issue (5): 1041-1049.doi: 10.3969/j.issn.1001-506X.2020.05.10

• 传感器与信号处理 • 上一篇    下一篇

基于集中式MIMO雷达的功率带宽联合分配算法

李正杰1(), 谢军伟1(), 张浩为1(), 张昭建2()   

  1. 1. 空军工程大学防空反导学院, 陕西 西安 710051
    2. 空军预警学院预警技术系, 湖北 武汉 410039
  • 收稿日期:2019-07-27 出版日期:2020-04-30 发布日期:2020-04-30
  • 作者简介:李正杰(1995-),男,硕士研究生,主要研究方向为MIMO雷达资源管理。E-mail:afeu_lzj@163.com|谢军伟(1970-),男,教授,博士研究生导师,博士,主要研究方向为隐身与反隐身、雷达电子战。E-mail:xjw_xjw_123@163.com|张浩为(1992-),男,博士,讲师,主要研究方向为MIMO雷达资源管理。E-mail:zhw_xhzf@163.com|张昭建(1989-),男,博士,讲师,主要研究方向为雷达信号处理。E-mail:zzj554038@163.com
  • 基金资助:
    国家自然科学基金(61503408)

Joint power and bandwidth allocation algorithm based on collocated MIMO radar

Zhengjie LI1(), Junwei XIE1(), Haowei ZHANG1(), Zhaojian ZHANG2()   

  1. 1. Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China
    2. Department of Early Warning Technology, Air Force Early Warning Academy, Wuhan 410039, China
  • Received:2019-07-27 Online:2020-04-30 Published:2020-04-30
  • Supported by:
    国家自然科学基金(61503408)

摘要:

针对集中式多输入多输出雷达对多目标进行跟踪的问题,提出一种基于后验克拉美罗下界的功率和带宽联合分配方法。该方法首先对各目标位置误差的后验克拉美罗下界进行预测,将克拉美罗下界构建为代价函数建立优化模型,从而将资源分配问题转化为求解非凸优化问题;而后运用凸松弛技术和循环最小化算法对该非凸优化问题进行求解;最后通过仿真验证所提算法的有效性。结果表明,与另外3种分配算法相比,所提算法在多种场景下均能有效提高目标跟踪精度。

关键词: 集中式多输入多输出雷达, 资源分配, 后验克拉美罗下界, 非凸优化, 多目标跟踪

Abstract:

Aiming at the problem of multi-target tracking by collocated multiple input multiple output radar, a power and bandwidth joint allocation method based on posterior Cramer-Rao lower bound (PCRLB) is proposed. This method firstly forecasts PCRLB of each target position error, and the sum of PCRLB is taken as the cost function to establish an optimization model, so as to transform the resource allocation problem into a non-convex optimization problem. Then the non-convex optimization problem is solved by using the convex relaxation technique and the cyclic minimization algorithm. Finally, the effectiveness of the proposed algorithm is verified by simulation. The results show that compared with the other three allocation algorithms, the proposed algorithm can effectively improve the target tracking accuracy in various scenarios.

Key words: collocated multiple input multiple output (MIMO) radar, resource allocation, posterior Cramer-Rao lower bound (PCRLB), non-convex optimization, multi-target tracking

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