This paper evaluates the performance of OFDM BPSK & -QPSK based system with and without channel estimation over Nakagami-m fading channels. Nakagami-m variants are generated by decomposition of Nakagami random variable into orthogonal random variables with Gaussian distribution envelopes. Performance of OFDM system in Nakagami channel has been reported here. The results yield the optimum value ...

Joint source and channel coding (JSCC), multicarrier modulation (MCM) and diversity are some key techniques for the multimedia transmission over wireless channels. In this work, we first investigate the channel estimation problem for the MCM system with multiple transmitter antennas. A model based channel estimation approach is proposed to identify the multiple channels simultaneously. We then ...

A new approach to Semi-Blind Channel Estimation (SBCE) technique for Multiple Input Multiple Output (MIMO) wireless communication system is proposed. It combines the Least Square (LS) and Minimum Mean Square Error (MMSE) Training Based Channel Estimation (TBCE) scheme with whitening rotation based orthogonal pilot maximum likelihood (OPML) semi-blind channel estimation (SBCE) scheme. In the new...

Channel estimation is one of the most significant technologies in the orthogonal frequency division multiplexing (OFDM) system and its accuracy will influence the performance of the whole system directly. Among all kinds of channel estimation algorithms, the least square(LS)estimation and the linear minimum mean-squared error (LMMSE) estimation are the most classic ones. However, both the two e...

Availability of channel state information (CSI) at any communication receiver is important for accurate detection and decoding of transmitted signals. Different types of algorithms have been proposed for the estimation of channel impulse response (CIR) of a time varying channel among which are the least mean square (LMS) and the recursive least square (RLS) algorithms. In this paper we propose ...

A novel least-squares (LS) scheme to estimate the channel frequency response (CFR) for orthogonal frequency division multiplexing (OFDM) over slow fading channels is presented. We take the advantage of slow fading to use repeated OFDM training blocks. This not only can facilitate the LS formulation but also improve the channel estimation performance as compared to the conventional one block LS ...

A novel iterative channel estimation algorithm for orthogonal frequency-division multiplexing (OFDM) systems in fast time-varying environment is proposed. Instead of directly estimate the original channel taps, the proposed estimation focus on the rest channel part from the original channel taps subtracted by the prior estimation results in the absence of any channel information. The initial re...

In this contribution, we address the comparison of Subspace (SS), Linear Prediction (LP) and Constant Modulus (CM) identi caton/equalization algorithms in terms of robustness to loss of Fractionally-Spaced channel disparity. We show that SS procedure leads to an inconsistent channel estimation. Investigating a left-inverse channel estimation, we show that LP results in the estimation of the so-...