Subarray partition method based on division position coding genetic algorithm

Wen Xi, Xiaopeng Yang*, Yuze Sun, Tao Zeng

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper proposed a genetic algorithm based on division position coding to solve the optimization of subarray partition in monopulse application, which aims at finding the best compromise between sum and difference patterns. In the proposed method, the division position is encoded as a chromosome gene, then the initial population is randomly generated by a series of non-repeated integers, and the fitness calculation and genetic operation are subtly designed to improve the convergence and stability. Various numeral simulation results are presented to verify the effectiveness of the proposed method.

Original languageEnglish
Publication statusPublished - 2015
EventIET International Radar Conference 2015 - Hangzhou, China
Duration: 14 Oct 201516 Oct 2015

Conference

ConferenceIET International Radar Conference 2015
Country/TerritoryChina
CityHangzhou
Period14/10/1516/10/15

Keywords

  • Division position coding
  • Genetic algorithm
  • Subarray partition

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Xi, W., Yang, X., Sun, Y., & Zeng, T. (2015). Subarray partition method based on division position coding genetic algorithm. Paper presented at IET International Radar Conference 2015, Hangzhou, China.