We proposed a novel equalization technique to suppress noise interference in wireless communications over time varying multipath channels. In the doubly-selective channel, error exists not only in the received signal but also the channel matrix. Total least squares method can be applied to resolve this type problem. Owing to considering the two errors, the total least squares (TLS) method tends to give better results than zero-forcing method based on least square. Through computer simulations, we demonstrate the better performance of the equalizer based on TLS then ZF equalizer.
KEYWORDS: Orthogonal frequency division multiplexing, Computer simulations, Receivers, Doppler effect, Algorithm development, Modulation, Signal to noise ratio, Communication engineering, Algorithms, Data conversion
Orthogonal frequency-division multiplexing (OFDM) is robust against frequency selective fading because of the increase of the symbol duration. However, the time-varying nature of the channel causes inter-carrier interference (ICI) which destroys the orthogonal of sub-carriers and degrades the system performance severely. To alleviate the detrimental effect of ICI, there is a need for ICI mitigation within one OFDM symbol. We propose an iterative Inter-Carrier Interference (ICI) estimation and cancellation technique for OFDM systems based on regularized constrained total least squares. In the proposed scheme, ICI aren’t treated as additional additive white Gaussian noise (AWGN). The effect of Inter-Carrier Interference (ICI) and inter-symbol interference (ISI) on channel estimation is regarded as perturbation of channel. We propose a novel algorithm for channel estimation o based on regularized constrained total least squares. Computer simulations show that significant improvement can be obtained by the proposed scheme in fast fading channels.
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