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

被引：0
|
作者：
Li Z. [1 ]
Xie J. [1 ]
Zhang H. [1 ]
Shao L. [1 ]
Chen W. [1 ]
机构：
[1] Air and Missile Defense College, Air Force Engineering University, Xi'an
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2022年 / 44卷 / 02期
关键词：
Angular glint noise; Collocated multi-input and multi-output (MIMO) radar; Predicted conditional Cramer Rao lower bound (PC-CRLB); Resource optimization;
D O I：
10.12305/j.issn.1001-506X.2022.02.18
中图分类号：
学科分类号：
摘要：
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. © 2022, Editorial Office of Systems Engineering and Electronics. All right reserved.
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页码：498 / 505
页数：7
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