Open AccessSub‐array partition method based on particle swarm optimisation for large aperture phased array radar
Author(s) -
Chen Xiaoyan,
Sun Yuze,
Xu Feng,
Yang Xiaopeng
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0278
Subject(s) - partition (number theory) , particle swarm optimization , phased array , computer science , inertia , algorithm , array processing , signal processing , mathematical optimization , radar , mathematics , telecommunications , physics , combinatorics , classical mechanics , antenna (radio)
In order to reduce hardware cost and system complexity, sub‐array partition is necessary for large array antennas. Traditional sub‐array partition methods are mainly aiming at the single performance optimisation of beampattern. Therefore, this study proposes a multiple performance parameters optimisation method based on particle swarm optimisation (PSO). In the proposed method, the multi‐objective optimisation problem is converted into a single‐objective problem, and then dynamic inertia weights and learning factors are used in the algorithm. Based on the proposed method, the signal processing performances can be improved compared with the traditional methods. Through the simulation of the division of the linear array, the effectiveness of the proposed method is verified.