Joint resource allocation scheme for target tracking in distributed MIMO radar systems

被引:0
作者
ZHENG Na’e [1 ]
SUN Yang [1 ]
SONG Xiyu [1 ]
CHEN Song [1 ]
机构
[1] Data and Target Engineering Institute, PLA Strategic Support Force Information Engineering University
基金
中国国家自然科学基金;
关键词
distributed multiple-input multiple-output(MIMO) radar; target tracking; joint resource alloction; sensor subset selection(SSS); optimal power and bandwidth allocation(OPBA);
D O I
暂无
中图分类号
TN958 [雷达:按体制分];
学科分类号
080904 ; 0810 ; 081001 ; 081002 ; 081105 ; 0825 ;
摘要
A joint resource allocation scheme concerned with the sensor subset, power and bandwidth for range-only target tracking in multiple-input multiple-output(MIMO) radar systems is proposed. By selecting an optimal subset of sensors with the predetermined size and implementing the power allocation and bandwidth strategies among them, this algorithm can help achieving a better performance within the same resource constraints.Firstly, the Bayesian Cramer-Rao bound(BCRB) is derived from it.Secondly, a criterion for minimizing the BCRB at the target location among all targets tracking in a certain range is derived. Thirdly,the optimization problem involved with three variable vectors is formulated, which can be simplified by deriving the relationship between the optimal power allocation vector and the bandwidth allocation vector. Then, the simplified optimization problem is solved by the cyclic minimization algorithm incorporated with the sequential parametric convex approximation(SPCA) algorithm. Finally,the validity of the proposed method is demonstrated with simulation results.
引用
收藏
页码:709 / 719
页数:11
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