太赫兹科学与电子信息学报2015，Vol.13Issue(6)：947-951,5.DOI:10.11805/TKYDA201506.0947
基于粒子群优化的MPSK信号频偏估计算法
Frequency estimation of MPSK signals based on PSO algorithm
胡礼 1廖明 1王世练1
作者信息
- 1. 国防科学技术大学电子科学与工程学院,湖南长沙 410073
- 折叠
摘要
Abstract
Traditional Non-Data-Aided(NDA) frequency offset estimation algorithm of Multiple Phase Shift Keying(MPSK) signals feature some disadvantages like small estimation range, large estimation variance, and limited performance for small symbol number. Aiming at these problems, a new frequency offset estimation algorithm based on particle swarm optimization is proposed. This algorithm takes the maximum likelihood function of frequency offset estimation as goal-function, imitating swarm intelligence to search the optimal solution. Simulation results validate that this algorithm has a large estimation range and the estimation variance is closed to the Cramer-Rao Lower Bound(CRLB) at small symbol number and low SNR, which is better than other classical algorithms like Discrete Fourier Transform(DFT) and Kay algorithm.关键词
多进制数字相位调制/最大似然/频偏估计/粒子群/最优解Key words
Multiple Phase Shift Keying/maximum likelihood/frequency estimation/particle swarm optimization/optimal solution分类
信息技术与安全科学引用本文复制引用
胡礼,廖明,王世练..基于粒子群优化的MPSK信号频偏估计算法[J].太赫兹科学与电子信息学报,2015,13(6):947-951,5.
