Joint Optimization of Receiver Placement and Illuminator Selection for a Multiband Passive Radar Network

• Published in: Sensors (Basel, Switzerland) Vol. 17; no. 6; p. 1378
• Main Authors: Xie, Rui, Wan, Xianrong, Hong, Sheng, Yi, Jianxin
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 14.06.2017; MDPI
• Subjects: Algorithms; Computer simulation; Greedy algorithms; illuminator selection; Illuminators; Mathematical models; partition p-center problem; Partitions; passive radar network; Radar cross sections; Radar networks; receiver placement; set covering problem; partition p-center problem; illuminator selection; set covering problem; passive radar network; receiver placement
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s17061378

The performance of a passive radar network can be greatly improved by an optimal radar network structure. Generally, radar network structure optimization consists of two aspects, namely the placement of receivers in suitable places and selection of appropriate illuminators. The present study investigates issues concerning the joint optimization of receiver placement and illuminator selection for a passive radar network. Firstly, the required radar cross section (RCS) for target detection is chosen as the performance metric, and the joint optimization model boils down to the partition -center problem (PPCP). The PPCP is then solved by a proposed bisection algorithm. The key of the bisection algorithm lies in solving the partition set covering problem (PSCP), which can be solved by a hybrid algorithm developed by coupling the convex optimization with the greedy dropping algorithm. In the end, the performance of the proposed algorithm is validated via numerical simulations.