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Stackelberg Game-Theoretic Low Probability of Intercept Performance Optimization for Multistatic Radar System

Shi, Chenguang; Qiu, Wei; Wang, Fei; Salous, Sana; Zhou, Jianjiang

Stackelberg Game-Theoretic Low Probability of Intercept Performance Optimization for Multistatic Radar System Thumbnail


Authors

Chenguang Shi

Wei Qiu

Fei Wang

Jianjiang Zhou



Abstract

In this paper, the problem of Stackelberg game-theoretic low probability of intercept (LPI) performance optimization in multistatic radar system is investigated. The goal of the proposed LPI optimization strategy is to minimize the transmitted power of each radar while satisfying a predetermined signal-to-interference-plus-noise ratio (SINR) requirement for target detection. Firstly, a single-leader multi-follower Stackelberg game is adopted to formulate the LPI optimization problem of multistatic radar system. In the considered game model, the hostile intercept receiver plays a role of leader, who decides the prices of power resource first through the maximization of its own utility function. The multiple radars are followers to compete with each other in a non-cooperative game according to the imposed prices from the intercept receiver subsequently. Then, the Nash equilibrium (NE) for the considered game model is derived, and the existence and uniqueness of the NE are analytically proved. Furthermore, a pricing-based distributed iterative power control algorithm is proposed. Finally, some simulation examples are provided to demonstrate that the proposed scheme has remarkable potential to enhance the LPI performance of the multistatic radar system.

Citation

Shi, C., Qiu, W., Wang, F., Salous, S., & Zhou, J. (2019). Stackelberg Game-Theoretic Low Probability of Intercept Performance Optimization for Multistatic Radar System. Electronics, 8(4), Article 397. https://doi.org/10.3390/electronics8040397

Journal Article Type Article
Acceptance Date Mar 29, 2019
Online Publication Date Apr 30, 2019
Publication Date Apr 30, 2019
Deposit Date May 29, 2019
Publicly Available Date Mar 29, 2024
Journal Electronics
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 8
Issue 4
Article Number 397
DOI https://doi.org/10.3390/electronics8040397

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).





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