Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2007, Vol. 30 ›› Issue (3): 88-92.doi: 10.13190/jbupt.200703.88.tangt

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An RLS Adaptive Channel Estimation Algorithm for Practical OFDM Systems

TANG Tian, JIANG Jun, ZHANG Ping   

  1. Telecommunication Engineering School, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2006-08-23 Revised:2006-11-28 Online:2007-06-30 Published:2007-06-30
  • Contact: TANG Tian

Abstract:

The channel impulse response (CIR) leakage in OFDM channel estimation is analyzed. A new one- dimensional (1D) recursive least square (RLS) adaptive channel estimation algorithm is proposed in time domain. To reduce the CIR leakage, the input signals and reference signals of the RLS filter are weighted by a matrix that is independent to the channel statistics. Keeping the simplicity of the 1D-RLS algorithm, the proposed algorithm has much lower computational cost than the 2D-RLS counterpart. The simulation results show that the proposed algorithm improves the MSE performance of the 1D-RLS channel estimation significantly in the non-sample-spaced multipath fading channel. The MSE performance can even approach the result of the 2D-RLS algorithm.

Key words: OFDM, adaptive channel estimation, RLS

CLC Number: