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Published on: May 1, 2018
Joint Optimization of Receiver Placement and Illuminator Selection for a Multiband Passive Radar Network
Rui Xie1, Xianrong Wan2, Sheng Hong3
1Radio Detection Research Center, School of Electronic Information, Wuhan University, Wuhan 430072, China. xierui@whu.edu.cn.
Optimizing passive radar networks involves strategically placing receivers and selecting illuminators. This study introduces a novel algorithm for joint optimization, enhancing target detection capabilities.
Area of Science:
- Electrical Engineering
- Signal Processing
- Optimization Theory
Background:
- Passive radar networks offer advantages but require optimal structural configuration for enhanced performance.
- Network structure optimization typically involves receiver placement and illuminator selection.
Purpose of the Study:
- To investigate the joint optimization of receiver placement and illuminator selection for passive radar networks.
- To develop an efficient algorithm for solving the resulting optimization problem.
Main Methods:
- Formulated the joint optimization problem as the partition p-center problem (PPCP).
- Developed a bisection algorithm to solve the PPCP, incorporating a hybrid approach for the partition set covering problem (PSCP).
- Utilized a combination of convex optimization and a greedy dropping algorithm to solve the PSCP.
Main Results:
- The proposed bisection algorithm effectively solves the PPCP for passive radar network optimization.
- Numerical simulations validated the performance of the developed algorithm.
Conclusions:
- Joint optimization of receiver placement and illuminator selection significantly improves passive radar network performance.
- The proposed hybrid algorithm offers an efficient solution for complex optimization problems in radar systems.
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