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

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 713-715)
• Pages: 1313-1316
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.713-715.1313
• Online since: January 2015
• Authors: Shou Zhong Zhang*
• Keywords: Channel Prediction, Hf Channel, Particle Filtering, Semi-Blind Channel Estimation

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