ICA-based blind symbol detection for compound system MIMO-OFDM in CDMA context

Abstract

Independent Component Analysis (ICA) based method for detection in the compound system MIMO-OFDM and in the context of CDMA is proposed. ICA algorithm is used as a post processor attached to a subspace based CDMA receiver. The proposed architecture of receiver reduces the bias caused by the channel noise and further decreases the noise by dimensionality reduction. A downlink CDMA based MIMO-OFDM channel is investigated given that only the code of the wanted mobile user is known. So, the blind symbol separation is then performed with the proposed receiver. We compare the proposed receiver and the ICA ability to the conventional matched filter, the well-known linear MMSE receiver, the ZF detector. The obtained simulation results for the Additive White Gaussian Noise (AWGN) channel demonstrate that the proposed scheme achieves significant Bit Error Rate (BER) performance and is suitable for CDMA based MIMO-OFDM system.