关键词: 短波突发通信, 无辅助数据, 粒子滤波

Abstract: To solve the problem of carrier frequency synchronization in HF burst-mode communication, a Non Data Aided（NDA） algorithm based on particle filter is proposed. The Maximum A Posterior（MAP） estimation of carrier frequency offset is made based on Bayesian formulation. And the minimum mean square error（MMSE） estimation of carrier phase and modulated symbols are obtained by particle filter algorithm. The particle weights are recursively computed using Sequential Importance Sampling（SIS）. Systematic resampling is employed for the reduction of particle weights degeneration. The carrier recovery performance of the algorithm for the channel with Gaussian white noise is simulated. The results show that the algorithm has short carrier recovery time and wide carrier recovery range. A HF communication simulation model is built based on Watterson model. Signals are simulated through this model under different channels, Signal-to-Noise Ratio（SNR） and frequency offset conditions. The result shows good performance of symbol detection even for large frequency offset.

Key words: HF burst-mode communication, Non Data Aided, particle filter