Title :
A Low Complexity Channel Estimation Algorithm for TDS-OFDM System
Author :
Hu Feng ; Li Jianping
Author_Institution :
Sch. of Inf. Eng., Commun. Univ. of China, Beijing, China
Abstract :
LMMSE algorithm is one of the best linear channel estimations for time domain synchronous orthogonal frequency division multiplexing (TDS-OFDM) system. The research on the computational complexity reduction of LMMSE algorithm remains to be a challenging topic. Since the combination of fast Fourier transform with singular value decomposition (FFT-SVD) simplify the channel autocorrelation matrix computation in frequency domain, an improved LMMSE algorithm based on FFT-SVD is proposed in this paper to achieve the similar MSE performance with lower computational complexity. The simulation results show that by using the improved LMMSE algorithm, the time spending in calculation can be reduced to 70% compared with the conventional one when adopting 256 PN sequence in TDS-OFDM system over Rayleigh fading channels.
Keywords :
OFDM modulation; channel estimation; computational complexity; correlation methods; fast Fourier transforms; frequency-domain analysis; least mean squares methods; singular value decomposition; time-domain analysis; LMMSE algorithm; Rayleigh fading channel; TDS-OFDM system; channel autocorrelation matrix computation; computational complexity; fast Fourier transform; frequency domain; linear channel estimation algorithm; orthogonal frequency division multiplexing; singular value decomposition; time domain synchronous; Autocorrelation; Channel estimation; Computational complexity; Computational modeling; Fading; Fast Fourier transforms; Frequency domain analysis; Matrix decomposition; OFDM; Singular value decomposition;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5304623
