Maximum likelihood channel estimation and signal detection for OFDM systems
نویسندگان
چکیده
We apply joint maximum likelihood (ML) estimation to orthogonal frequency division multiplexing (OFDM) systems and develop a simple receiver structure that gives joint ML estimates of a multipath channel and the transmitted data sequence. Simulation results have confirmed good performance of our algorithm. For a two-path or three-path slow fading channel, our algorithm converges to the case with known channel parameters.
منابع مشابه
Improved Channel Estimation for DVB-T2 Systems by Utilizing Side Information on OFDM Sparse Channel Estimation
The second generation of digital video broadcasting (DVB-T2) standard utilizes orthogonal frequency division multiplexing (OFDM) system to reduce and to compensate the channel effects by utilizing its estimation. Since wireless channels are inherently sparse, it is possible to utilize sparse representation (SR) methods to estimate the channel. In addition to sparsity feature of the channel, the...
متن کاملIntercarrier Interference Suppression for OFDM Systems Using Hopfield Neural Network
In Orthogonal frequency division multiplexing (OFDM) transmission system, channel variations within an OFDM symbol destroy orthogonality between subcarriers, resulting in intercarrier interference (ICI), which increases an error floor in proportional to normalized Doppler frequency. To mitigate the effects of channel variations, in this paper, we propose a novel ICI suppression technique, which...
متن کاملInterpolation-based maximum likelihood channel estimation using OFDM pilot symbols
An interpolation-based maximum likelihood channel estimation scheme using OFDM pilot symbols is proposed. Instead of direction estimation of the frequency response on each subchannel, an interpolation filter is used on the pilot symbols to estimate a smaller set of coefficients that are sufficient to characterize the multipath channel. The actual frequency responses on the subchannels are then ...
متن کاملML Detection with Symbol Estimation for Nonlinear Distortion of OFDM Signal
In this paper, a new technique of signal detection has been proposed for detecting the orthogonal frequency-division multiplexing (OFDM) signal in the presence of nonlinear distortion. There are several advantages of OFDM communications system. However, one of the existing problems is remain considered as the nonlinear distortion generated by high-power-amplifier at the transmitter end due to t...
متن کاملAn EM-Based Estimation of OFDM Signals1
We propose an EM-based algorithm to efficiently detect transmitted data in an OFDM system as well as estimating the channel impulse response (CIR). The maximum likelihood estimate of CIR is obtained by using channel statistics (their means and covariances) via the expectation-maximization (EM) algorithm. This algorithm can improve signal detection and the channel estimation accuracy by making u...
متن کامل