Power allocation optimization method for radar networking system based on sequential convex programming

Yanwei Zhang; Hailin Li; Yuanjin Tian; Xiao Dong; Ke Wang

doi:10.1117/12.2673824

6 April 2023 Power allocation optimization method for radar networking system based on sequential convex programming

Yanwei Zhang, Hailin Li, Yuanjin Tian, Xiao Dong, Ke Wang

Proceedings Volume 12615, International Conference on Signal Processing and Communication Technology (SPCT 2022); 126151G (2023) https://doi.org/10.1117/12.2673824
Event: International Conference on Signal Processing and Communication Technology (SPCT 2022), 2022, Harbin, China

Abstract

A power allocation model of MIMO radar networking system is proposed in this paper to meet the requirement of radio frequency stealth performance of airborne radar in modern warfare. Based on the KL divergence criterion and the SNR criterion, the model optimizes the transmitting power between the networked radars so as to minimize the total transmitting power of the system under the condition that the detection performance meets the threshold. Besides, the concave-convex-programming algorithm in sequential convex programming is used to solve the non-convex constrained optimization problem. The effectiveness of CCCP algorithm is verified by comparing with other heuristic algorithms.

Citation Download Citation

Yanwei Zhang, Hailin Li, Yuanjin Tian, Xiao Dong, and Ke Wang "Power allocation optimization method for radar networking system based on sequential convex programming", Proc. SPIE 12615, International Conference on Signal Processing and Communication Technology (SPCT 2022), 126151G (6 April 2023); https://doi.org/10.1117/12.2673824

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