Title :
LS Channel Estimation for Mobile OFDM Communications on Time-Varying Frequency-Selective Fading Channels
Author_Institution :
Nat. Central Univ., Nanjing
Abstract :
A least-squares (LS) channel estimation (CE) technique for mobile OFDM communications over a rapidly time-varying frequency-selective fading channel is investigated in this paper. The proposed technique keeping the comb-type pilot arrangement can achieve low error probability by accurately estimating channel impulse response (CIR) and effectively tracking rapid CIR variations. In addition, the LS CE technique proposed here is conducted in the time domain (TD); meanwhile, a generic estimator is, thus, performed serially block by block without assistance from a priori channel information and without increasing computational complexity. By taking advantage of linearly frequency-modulated (LFM) or pseudorandom signals that are transceived for the purpose of sounding pilot subchannels, the proposed LS channel estimator (CE) can inherently perform pseudo-noise (PN) matched filtering (MF) to suppress multipath interference (MPI) caused by frequency-selective fading and inter-carrier-interference (ICI) resulting from data subchannels. The dual optimality of the LFM and PN pilot symbols is verified for both time-domain (TD) and frequency-domain (FD) CEs. Furthermore, the proposed technique also exhibits good resistance against residual timing errors occurring with the DFT demodulation. Extensive computer simulations in conjunction with statistical derivations show the superiority of the proposed technique.
Keywords :
OFDM modulation; channel estimation; discrete Fourier transforms; fading channels; frequency-domain analysis; intercarrier interference; interference suppression; least squares approximations; matched filters; mobile communication; time-domain analysis; DFT demodulation; channel impulse response; comb type pilot arrangement; frequency-domain channel estimation; intercarrier interference; least squares channel estimation; mobile OFDM communications; multipath interference suppression; pseudo noise matched filtering; time-domain channel estimation; time-varying frequency-selective fading channels; Channel estimation; Computational complexity; Error probability; Filtering; Frequency estimation; Frequency-selective fading channels; Interference suppression; Matched filters; Mobile communication; OFDM;
Conference_Titel :
Communications, 2007. ICC '07. IEEE International Conference on
Conference_Location :
Glasgow
Print_ISBN :
1-4244-0353-7
DOI :
10.1109/ICC.2007.501