Constant Modulus and Kurtosis based Blind Adaptive Array Interference Suppression: Comparisons and New Approach

This paper presents performance comparison of interference suppression on blind adaptive array algorithms. Co-channel interference becomes more extensive due to frequency resource exhaustion and small cell deployment which had been triggered by mobile traffic explosion. Multi-antenna signal processing is an effective means for such co-channel interference suppression. Strict approach is to utilize a priori information of channel state by estimating it via known training sequences. It gratuitously consumes radio resource and thus overhead inflates according to the increase of interference source to be suppressed. In addition, training sequence cannot be shared between wire-less communication systems employing different transmission schemes. Here we focus on blind adaptive array where any channel estimation is not required. Algorithms of interest in this study are based on constant modulus and independent component analysis (ICA) criteria. We present fundamental observation of their interference suppression performance compared in terms of modulation order, number of interference sources, and degree of freedom, then derive the most stable approach using ICA incorporated with beamspace pre-processing.