Minimum Probability of Error-Based Equalization Algorithms for Fading Channels

Minimum Probability of Error-Based Equalization Algorithms for Fading Channels

Novel channel equalizer algorithms are introduced for wireless communication systems to combat channel distortions resulting from multipath propagation. The novel algorithms are based on newly derived bounds on the probability of error (PE) and guarantee better performance than the traditional zero forcing (ZF) or minimum mean square error (MMSE) algorithms. The new equalization methods require...

Approximate Minimum Bit Error Rate Equalization for Fading Channels

A novel channel equalizer algorithm is introduced for wireless communication systems to combat channel distortions resulting from multipath propagation. The novel algorithm is based on minimizing the bit error rate (BER) using a fast approximation of its gradient with respect to the equalizer coefficients. This approximation is obtained by estimating the exponential summation in the gradient wi...

Equalization Techniques for Fading Channels

Minimum probability of error for asynchronous Gaussian multiple-access channels

Ahstruct-Consider a Gaussian multiple-access channel shared by K users who transmit asynchronously independent data streams by modulating a set of assigned signal waveforms. The uncoded probability of error achievable by opt imum multiuser detectors is investigated. It is shown that the K-user maximum-likel ihood sequence detector consists of a bank of single-user matched filters followed by a ...

Minimum Probability of Error in Sparse Wideband Channels

This paper studies the impact of channel coherence and the role of channel state information (CSI) on the probability of error in wideband multipath fading channels. Inspired by recent ultra wideband channel measurement campaigns, we propose a sparse channel model for time and frequency selective fading in which the number of resolvable channel paths grow sub-linearly with signal space dimensio...