角闪烁噪声下的集中式MIMO雷达自适应资源分配算法

为解决角闪烁噪声下集中式多输入多输出(multi-input and multi-output,MIMO)雷达的资源优化分配问题,设计了一种面向多目标跟踪任务的自适应资源分配算法.首先采用平方根容积粒子滤波(square-root cubature particle filter,SCPF)算法对各目标状态进行估计,并...

Adaptive resource allocation algorithm in collocated MIMO radar under angular glint noise

To solve the resource allocation problem in collocated multi-input and multi-output(MIMO)radar under angular glint noise,an adaptive resource allocation algorithm for multi-target tracking tasks is designed.Firstly,the square-root cubature particle filter(SCPF)algorithm is adopted to estimate the state of each target,and then the predicted conditional Cramer Rao lower bound(PC-CRLB)is calculated based on its estimate value,thus the evaluation criterion of tracking error under angular glint noise is established.Then a non-convex optimization model is established based on the function relationship of power and bandwidth with PC-CRLB.In addition,the non-convex optimization is transformed into a variety of convex optimization problems by using convex relaxation technique and cyclic minimization algorithm,and the semi-definite programming(SDP)algorithm combined with the Frank-Wolfe feasible direction method is used to solve the problems,so as to realize the adaptive allocation of resources.Finally,the effectiveness of the proposed algorithm is verified by simulations under different scenarios.