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）

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%.

Key words: digital modulation signals, instantaneous feature parameters, neighbor information, Particle Swarm Optimization（PSO） algorithm, Back Propagation（BP）