A General Approach for Image and Co-Channel Interference Suppression in Diversity Wireless Receivers Employing ICA

Abstract

In this contribution, a general approach to suppress image signal and co-channel interference in a wireless receiver is presented. The technique employs diversity reception, and the algorithm is based on complex-valued independent component analysis (ICA). The proposed ICA method increases the channel capacity through greater frequency reuse, and it simplifies the receiver's front end by eliminating the need for analog image filtering. Also, the new technique is computationally efficient and has attractive implementation features in terms of the requirement for A/D converters' speed and bandpass filters' selectivity. Simulation results show that the performance is robust over a wide range of input signal-to-interference ratios, and the algorithm has fast convergence.

A Gradient-Based Optimum Block Adaptation ICA Technique for Interference Suppression in Highly Dynamic Communication Channels

“…where [R] j and q( j) are given by (25) and (26). Now we show that online gradient-based ICA can be obtained as a special case of the more general OBA/ICA formulation presented above.…”

“…In [2,24], Ristaniemi and Joutsensalo proposed to use fast-ICA as a tuning element to improve the performance of the traditional RAKE or MMSE DS-CDMA receivers. Other techniques exploiting antenna diversity have also been presented for interference suppression [25,26] or multiuser detection [27]. These ICA-based approaches have attractive properties, such as near-far resistance and little requirement on channel parameter estimation.…”