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 language | English |
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Publication status | Published - 2015 |
Event | IET International Radar Conference 2015 - Hangzhou, China Duration: 14 Oct 2015 → 16 Oct 2015 |
Conference
Conference | IET International Radar Conference 2015 |
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Country/Territory | China |
City | Hangzhou |
Period | 14/10/15 → 16/10/15 |
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.