机动目标跟踪的分布式MIMO雷达资源分配算法

doi:10.3969/j.issn.1001-2400.2016.04.003

西安电子科技大学学报 ›› 2016, Vol. 43 ›› Issue (4): 10-16.doi: 10.3969/j.issn.1001-2400.2016.04.003

机动目标跟踪的分布式MIMO雷达资源分配算法

李艳艳;苏涛

(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:2015-03-30 出版日期:2016-08-20 发布日期:2016-10-12
作者简介:李艳艳(1986-)，女，西安电子科技大学博士研究生，E-mail：liyanyan_xd@163.com．
基金资助:
国家自然科学基金资助项目(61271291)；陕西省自然科学基础研究计划资助项目(2012JM8015)

Resource allocation approach for maneuvering target tracking in distributed MIMO radar systems

LI Yanyan;SU Tao

(National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071, China)

Received:2015-03-30 Online:2016-08-20 Published:2016-10-12

摘要/Abstract

摘要：

在分布式多输入多输出雷达平台下，将发射功率和信号带宽联合优化分配，目的是在资源有限的情况下提高机动目标的跟踪精度．该方法首先推导了机动目标跟踪误差的贝叶斯克拉美罗下界，然后以最小化贝叶斯克拉美罗下界为目标，建立了包含发射功率和带宽两个优化变量的代价函数，并用循环最小化算法结合凸松弛和凸优化进行求解．仿真结果表明，该算法能明显提高机动目标的跟踪精度．

关键词: 分布式多输入多输出雷达, 机动目标跟踪, 功率分配, 带宽分配

Abstract:

Based on the distributed MIMO radar systems, transmitted power and signal bandwidth are jointly allocated to improve the tracking accuracy for a maneuvering target when the resource is limited. Firstly, the Bayesian Cramer Rao Bound (BCRLB) for the maneuvering target tracking error is deduced. Then, a criterion for minimizing the BCRLB is derived, and the corresponding optimization problem with two independent vectors is solved by the cyclic minimization algorithm together with convex relaxation and convex optimization. Simulations demonstrate that the tracking accuracy is improved by the proposed algorithm.

Key words: distributed MIMO radar, maneuvering target tracking, power allocation, bandwidth allocation

李艳艳;苏涛. 机动目标跟踪的分布式MIMO雷达资源分配算法[J]. 西安电子科技大学学报, 2016, 43(4): 10-16.

LI Yanyan;SU Tao. Resource allocation approach for maneuvering target tracking in distributed MIMO radar systems[J]. Journal of Xidian University, 2016, 43(4): 10-16.

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机动目标跟踪的分布式MIMO雷达资源分配算法

Resource allocation approach for maneuvering target tracking in distributed MIMO radar systems

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