基于离散粒子群的QAM信号谱中心检测仿真  

Simulation of QAM Signal Spectrum Center Detection Based on Discrete Particle Swarm

作　　者：胡菲菲 郑文秀 杨渊 HU Feifei;ZHENG Wenxiu;YANG Yuan(School of Communication and Information Engineering,Xi’an University of Posts&Telecommunications,Xi’an 710121,China)

机构地区：[1]西安邮电大学通信与信息工程学院,陕西西安710121

出　　处：《电子工业专用设备》2024年第5期63-68,共6页Equipment for Electronic Products Manufacturing

摘　　要：针对类高斯谱型数字信号谱中心检测问题,以QAM信号为例,利用小波分解与重构提取信号的谱包络,将谱中心估计问题转化为谱包络的极值检测问题。以幅度谱包络作为智能搜索算法的目标函数,提出一种基于离散粒子群搜索的信号谱中心快速检测方法;仿真实验验证了其方法的有效性和可行性;该方法可推广到多子带信道中各子信道的中心频率检测,为实际通信检测中类高斯谱型信号谱中心频率的快速检测提供了新的思路。In order to detect the spectral center of Gaussian-like digital signals,with QAM signal as an example,this paper use the wavelet decomposition and reconstruction to extract the signal’s spectral envelop so that the spectral center estimation problem is transformed into the extreme value detection problem of the spectral envelope.This paper proposes a fast detection method of signal spectrum center based on the discrete particle swarm search using the signal’s spectral envelop as the objective function of intelligent search algorithm.Simulation experiments have verified the effectiveness and feasibility of the proposed method.This method can be extended to the sub-channels’spectral centers detection in multi-subband channel,and provides a novel idea for the fast spectral center detection for the Gaussian-like signals in real communication detection.

关 键 词：离散粒子群算法 谱中心检测 小波变换 

分 类 号：TN606[电子电信—电路与系统]