角闪烁噪声下的集中式MIMO雷达自适应资源分配算法

doi:10.12305/j.issn.1001-506X.2022.02.18

Abstract

Abstract:

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.

Key words: collocated multi-input and multi-output (MIMO) radar, angular glint noise, predicted conditional Cramer Rao lower bound (PC-CRLB), resource optimization

CLC Number:

TN958

Zhengjie LI, Junwei XIE, Haowei ZHANG, Lei SHAO, Wenyu CHEN. Adaptive resource allocation algorithm in collocated MIMO radar under angular glint noise[J]. Systems Engineering and Electronics, 2022, 44(2): 498-505.

Figures/Tables 6

Table 1

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References 22

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状态	目标
状态	1	2	3
初始位置/km	(175.6, 20)	(115.2, -7.3)	(70.9, 70.9)
初始速度/(m/s)	(-841, 0)	(-454, -631)	(-648, -798)

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

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