Advances in Subspace-Based Techniques for Signal Processing and Communications

Advances in Subspace-Based Techniques for Signal Processing and Communications

1Department of Computer Engineering and Informatics, University of Patras, 26500 Patras, Greece 2Department of Electrical and Computer Engineering, McGill University, 845 Sherbrooke Street, W Montreal, QC, Canada H3A 2T5 3Department of Computer and Communication Engineering, University of Thessaly, 38221 Volos, Greece 4Department of Electrical Engineering, Princeton University, Olden Street, Pr...

A signal subspace-based subband approach to space-time adaptive processing for mobile communications

In this paper, we present a novel space-time signal subspace-based subband approach to space-time adaptive processing (STAP) that has been shown to be an effective method to suppress both the intersymbol interference (ISI) and the cochannel interference (CCI) in mobile communications. We first study the performance of STAP and make clear the conditions of perfect processing (i.e., perfect equal...

Signal Processing for Communications

Optimally regularized channel tracking techniques for sequence estimation based on cross-validated subspace signal processing

New methods for maximum-likelihood sequence estimation based on the Viterbi algorithm (VA) are presented. In the proposed scheme, the channel estimator and the Viterbi processor operate concurrently. At any given time-step, the sequence provided to the channel estimator comes from the survivor with the best metric value. These already known modifications of the traditional decision-directed VA ...

Advances in angle-of-arrival and multidimensional signal processing for localization and communications

Our ability to determine the direction-of-arrival of a transmitted signal via antenna arrays has improved dramatically in recent years. The invention of the multiple signal classification (MUSIC) and estimation of signal parameters via rotational invariant techniques (ESPRIT) algorithms enabled performance exceeding the resolution limit prescribed by the array dimensions (so-called “super-resol...