Two Novel Channel Estimation for OFDM Systems by Time-Domain Cluster Discriminant Analysis Based on Parametric Channel Modeling

  • Authors:

  • Tongliang Fan;Shizhong Yang;Haowei Wu;Dan Wang

  • Affiliations:

  • College of Communication Engineering, Chongqing University, Chongqing, China 400044 and Center of Communication and Tracking Telemetry Command, Chongqing University, Chongqing, China 400044;Center of Communication and Telemetering & Commanding, Chongqing University, Chongqing, China 400044;Center of Communication and Telemetering & Commanding, Chongqing University, Chongqing, China 400044;Center of Communication and Telemetering & Commanding, Chongqing University, Chongqing, China 400044

  • Venue:
  • Wireless Personal Communications: An International Journal
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we describe two novel channel estimation technologies for orthogonal frequency-division multiplexing mobile communication systems using cluster discriminant analysis for sparse multipath channels. The least-squares estimator has a merit of low complexity and simple structure; however one of its drawbacks is that it does not take into consideration the effect of noise. Conventional DFT-based channel estimator improved its performance by suppressing time domain noise, but it does not completely suppress the noise. In order to overcome this disadvantage, we propose two novel channel estimation algorithms for Orthogonal frequency division multiplexing systems based on cluster analysis and discriminant analysis. The cluster analysis can be used to cluster residual noise. Discriminant analysis can distinguish the noise and channel taps in time domain. Computer simulation demonstrates the performance of the proposed algorithms in terms of bit error rate and mean square error performance.