A Semi-Blind Channel Estimation Method Based on Improved Particle Filtering for HF Channel

To further improve the performance of channel estimation by particle filtering, an improved particle filtering method was proposed. The HF channel has multipath、fading and time-varying characteristics, and using the dynamic channel prediction model and the phased semi-blind estimation by improved particle filtering can obtain the tracking performance for the time varying channel. Based on stratified resampling of particle filtering, a criterion is set during the particle choosing process to ensure the valid of the chosen particles. Simulation result shows the effectiveness of the proposed method.