Code-aided interference suppression for communication system with MSK modulation

This paper analyzes code-aided interference suppression techniques for communication systems with minimum shift keying (MSK) modulation. Base on the minimum bit error rate (MBER) criterion, we develop the so-called MBER detector and explain how it is related with the conventional MMSE (minimum mean square error) detector. Inspired by the MBER detector, a new subspace projection (SP) detector is proposed for the strong interference. Additionally, the forward continuous mean exclusion (FCME) algorithm is introduced for classifying the interference subspace and noise subspace adaptively. Simulation results of BER performances demonstrate that the MBER detector achieves the minimum BER, except in the case of strong interference when the SP based detector performs the best.