Title :
An improved least square channel estimation algorithm for underwater acoustic OFDM systems
Author :
Chen, Wang ; Qi, Li ; Yanjun, Fang
Author_Institution :
Dept. of Autom., Wuhan Univ., Wuhan, China
Abstract :
Channel estimation is vital for the performance of underwater acoustic (UWA) orthogonal frequency division multiplexing (OFDM) systems. In this paper, we first analyze the conventional least square (LS) channel estimation algorithm, which is very sensitive to noise and frequency synchronization errors, and then we develop a novel LS algorithm. It utilizes the channel frequency response of one pilot symbol to revise that of the following symbol with weighted average, so that it can suppress the error diffusion that results from the former error symbol. Simulation results show that the proposed LS algorithm achieves better bit error rate (BER) and mean square error (MSE) performance compared to the conventional one.
Keywords :
OFDM modulation; channel estimation; error statistics; frequency response; least squares approximations; mean square error methods; synchronisation; underwater acoustic communication; BER; MSE; bit error rate; channel frequency response; error diffusion; frequency synchronization errors; least square channel estimation; mean square error; noise synchronization errors; orthogonal frequency division multiplexing; underwater acoustic OFDM systems; Acoustic noise; Algorithm design and analysis; Bit error rate; Channel estimation; Frequency response; Frequency synchronization; Least squares approximation; Mean square error methods; OFDM; Underwater acoustics; OFDM; channel estimation; least-square; underwater acoustic communication;
Conference_Titel :
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5821-9
DOI :
10.1109/ICFCC.2010.5497494
