计算机工程与应用2016，Vol.52Issue(17)：133-139,7.DOI:10.3778/j.issn.1002-8331.1410-0122
MPSO算法优化BP网络的数字调制识别方法
Digital modulation recognition method based on MPSO optimizing BP neural network
摘要
Abstract
Currently, many recognition methods of digital modulation signals occur, which have different recognition effects. In order to improve recognition performance of the signals under different Signal-to-Noise Ratio(SNR), a method based on Modified Particle Swarm Optimization(MPSO)algorithm optimizing BP is proposed. Six instantaneous feature parameters are extracted, among which the Rσa is an improvement and the Rσp is an analogy of the Rσa . The neighbor information of particles are referred to modify Particle Swarm Optimization(PSO)algorithm optimizing the weights and thresholds of BP. Simulation result shows that the method has a remarkable performance because the probability to recognize seven kinds of signals is over 86%.关键词
数字调制信号/瞬时特征参数/邻域信息/粒子群算法(PSO)/反向传播(BP)Key words
digital modulation signals/instantaneous feature parameters/neighbor information/Particle Swarm Optimi-zation(PSO)algorithm/Back Propagation(BP)分类
信息技术与安全科学引用本文复制引用
史先铭,刘以安..MPSO算法优化BP网络的数字调制识别方法[J].计算机工程与应用,2016,52(17):133-139,7.基金项目
国家自然科学基金（No.61170120）。 （）
