Title :
Channel equalization and phase noise suppression for OFDM systems in a time-varying frequency selective channel using particle filtering
Author :
Yee, Derek ; Reilly, James P. ; Kirubarajan, Thia
Author_Institution :
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada
Abstract :
In this paper we address the problem of channel equalization and phase noise suppression in orthogonal frequency division multiplexing (OFDM) systems. For OFDM systems, random phase noise introduced by the local oscillator causes two effects: the common phase error (CPE), and the intercarrier interference (ICI). The performance of coherent OFDM systems greatly depends on the ability to accurately estimate the effective dynamic channel, i.e. the combined effect of the CPE and the time-varying frequency selective channel. The proposed approach uses a pilot tone aided particle filter to track/estimate the effective dynamic channel in the time domain and equalizes in the frequency domain. The particle filter is efficiently implemented by combining sequential importance sampling, principles of Rao-Blackwellization, and strategies stemming from the auxiliary particle filter. Simulation results are provided to illustrate the effectiveness of the proposed algorithm.
Keywords :
OFDM modulation; adjacent channel interference; channel estimation; equalisers; filtering theory; importance sampling; phase noise; random noise; time-varying channels; CPE; ICI; OFDM systems; Rao-Blackwellization principles; auxiliary particle filter; channel equalization; coherent OFDM systems; common phase error; effective dynamic channel; frequency domain equalization; intercarrier interference; local oscillator; orthogonal frequency division multiplexing systems; particle filtering; phase noise suppression; pilot tone aided particle filter; random phase noise; sequential importance sampling; simulation; time-varying frequency selective channel; Filtering; Frequency domain analysis; Frequency estimation; Interference; Local oscillators; OFDM; Particle filters; Particle tracking; Phase noise; Time varying systems;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1415825