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 equalization of the desired user signal and perfect suppression of CCI signals). Based on the polyphase representation and the subspace analysis of the signal channels, we propose a space-time signal subspace-based subband approach to STAP, namely, the subband STAP, which highly improves the convergence rate without loss of the steady-state performance. Simulation results show its effectiveness under the procedure of signal subspace estimation and detection.