Method of Radar Power Control under Search State

2018 5th International Conference on Advanced Composite Materials and Manufacturing Engineering

Zhang, Xiang^1 ; Wu, Hua^1

Aeronautics Engineering College, Air Force Engineering University, Xi'an

710038, China^1

关键词: Constraint conditions;    Grey relational degree;    Improved particle swarm optimization algorithms;    Learning factor;    Radiation energy;    Radio frequencies;    Target functions;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/394/4/042087/pdf
DOI  :  10.1088/1757-899X/394/4/042087

来源: IOP

【 摘 要 】

To improve radar radio frequency stealth performance, a method of radar power control in search condition is proposed. Taking constraint condition of search frame period and detecting probability into consideration, target function of lowest radiation energy based on grey relational degree is set up, which combines detecting performance and radiation energy. An improved particle swarm optimization (IPSO) algorithm, which adjusts weight self-adaptively, changes learning factors asynchronously and introduces compensating particle to search the blind area, is proposed to solve the target function. The simulation shows that the proposed method can realize lower radiation energy on the premise of ensuring the detecting probability. In addition, it has better performance of radio frequency stealth.