Title :
On Comparison Of Pilot-Aided OFDM channel estimation algorithms
Author_Institution :
Dept. of Weaponry Eng., Naval Univ. of Eng., Wuhan, China
Abstract :
Orthogonal Frequency Division Multiplexing (OFDM) is an attractive modulation technique for communication between unmanned underwater vehicles (UUV) and a distant mother platform. The objective of this study is improving channel estimation accuracy in OFDM system because channel state information is required for signal detection at the receiver and its accuracy affects the overall performance of the system and it is essential to improve the channel estimation for more reliable communications. In this paper, the pilot signal estimation based on Least Square (LS), together with channel interpolation based on the discrete cosine transform, namely DCT-based LS estimator, is compared with LS channel estimation approaches and discussed. Two well known performance criteria: Mean Square Error (MSE) and Bit Error Rate (BER) are used for comparison by using Monte Carlo Simulations for 16 quartered amplitude modulation (16QAM). The results verify that the DCT-based LS estimator has a better performance for OFDM systems. Moreover, the effect of power limitation in terms of SNR and the number of pilots for a wireless channel is determined to compare the DCT-based LS estimator. The result indicates that the estimator with large number of pilots has better performance, but increases the computational complexity.
Keywords :
Monte Carlo methods; OFDM modulation; channel estimation; communication complexity; discrete cosine transforms; error statistics; least squares approximations; marine communication; mean square error methods; quadrature amplitude modulation; receivers; remotely operated vehicles; signal detection; underwater vehicles; wireless channels; DCT; Monte Carlo simulation; QAM; bit error rate; channel interpolation; computational complexity; discrete cosine transform; distant mother platform; least square estimator; mean square error; modulation technique; orthogonal frequency division multiplexing; performance criteria; pilot signal estimation; pilot-aided OFDM channel estimation algorithm; quartered amplitude modulation; receiver; signal detection; unmanned underwater vehicle; wireless channel; Bit error rate; Channel estimation; Discrete Fourier transforms; Discrete cosine transforms; Estimation; OFDM; Signal to noise ratio; Least Square; OFDM; UUV; channel estimation; discrete cosine transform;
Conference_Titel :
Image Analysis and Signal Processing (IASP), 2011 International Conference on
Conference_Location :
Hubei
Print_ISBN :
978-1-61284-879-2
DOI :
10.1109/IASP.2011.6108992