Burst-Interference Suppression Based on Space-Time Processing

Abstract

Burst-interference suppression is quite challenging and of great importance to wireless communications, but is rarely investigated in the current literature. In this paper, a novel approach based on space-time processing is proposed for the burst-interference suppression. First, part of the conventional centralized training sequence is scattered and evenly embedded into the transmitted data sequence. In this way, the unexpected burst interference has a much higher possibility to contaminate the training sequence, as compared with the conventional centralized one. Next, we can exploit the burst-interference information contained in the received scattered pilot to adaptively compute the optimal space-time weighting coefficients (STWC) under the weighted minimum mean square error criterion. The STWC are then used to perform the space-time filtering on the received data sequence to suppress interference as well as recover the transmitted data symbols. Simulation results show that our proposed method can effectively mitigate the influence of burst interference.

Keywords

• Space-time processing (STP)
• burst-interference suppression
• scattered training sequence
• weighted minimum mean square error (WMMSE)
• space-time weighting coefficients (STWC)