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The Feature Selection Method of Radar Modulation Signal Based on Particle Swarm Optimization Algorithm

机译:基于粒子群算法的雷达调制信号特征选择方法

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摘要

Feature selection is the important component of pattern recognition. Particle Swarm Optimization (PSO) is sample and has excellent performance. Through adding improvement strategy to standard PSO algorithm, the feature selection of radar modulation signal based on PSO algorithm is proposed, and the simulation experiment validates the algorithm is effective.
机译:特征选择是模式识别的重要组成部分。粒子群优化(PSO)是示例,并且具有出色的性能。通过对标准的PSO算法增加改进策略,提出了基于PSO算法的雷达调制信号特征选择,并通过仿真实验验证了该算法的有效性。

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