NDLI: Deployment of multistatic radar system using multi-objective particle swarm optimisation

Content Provider	IET Digital Library
Author	Yang, Yichuan Zhang, Tianxian Yi, Wei Kong, Lingjiang Li, Xiaolong Wang, Bing Yang, Xiaobo
Abstract	The authors consider an optimisation problem of multistatic radar system (MSRS) deployment, which includes both the antenna placement and the transmitted power allocation. To improve the surveillance performance of MSRS that equipped with different detection methods, they mainly aim at two goals: (i) to improve the coverage ratio of a surveillance region; (ii) to get an even distribution of signal energy in the surveillance region. Through introducing two objective functions for the above two mentioned goals, respectively, they formulate a multi-objective optimisation problem. To overcome drawbacks caused by the significant difference between the values of these two objective functions, they propose a multi-objective particle swarm optimisation (MOPSO) algorithm with non-dominated relative crowding distance (MOPSO-NRCD). Specifically, through the non-dominative relationship comparison and normalisation of crowding distance, a novel method is proposed to select the global best solution. Moreover, a multi-swarm structure is applied to labour division of all particles. Comparing with the MOPSO with the traditional crowding distance, simulation results show that the MOPSO-NRCD can provide better candidate schemes, which are capable to satisfy more stringent performance requirements.
Starting Page	485
Ending Page	493
Page Count	9
ISSN	17518784
Volume Number	12
e-ISSN	17518792
Issue Number	Issue 5, May (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/12/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2017.0351
Journal	IET Radar, Sonar & Navigation
Publisher Date	2018-02-02
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Antenna Placement Crowding Distance Normalisation Detection Method MOPSO Algorithm MOPSO-NRCD MSRS Performance Multiobjective Particle Swarm Optimisation Algorithm with Non-dominated Relative Crowding Distance Multistatic Radar System Deployment Multiswarm Structure Nondominative Relationship Comparison Optimisation Technique Particle Swarm Optimisation Radar Antenna Radar Detection Radar Equipment Search Radar Signal Detection Signal Energy Distribution Single Antenna Surveillance Region Coverage Ratio Improvement System And Application Transmitted Power Allocation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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