Performance Analysis of Independent Component Analysis Algorithms for Multi-User Detection of DS-CDMA
The conventional detection process of Direct Sequence Code Division Multiple Access (DS-CDMA) is limited by Multiple Access Interference (MAI) due to loss of orthogonality between spreading waveforms in multipath propagation channel environment. In this paper RADICAL Independent Component Analysis (ICA) algorithm is proposed for detection of DS-CDMA signals and compared with Fast ICA, JADE ICA algorithm. Independent Component Analysis (ICA) is statistical technique based on higher order statistics, represent set random variables as linear transformation of statistically independent components and these conditions are satisfied in multi-user CDMA environment. Conventional methods mitigate sources of interference by taking into account all available information and at times seeking additional information channel characteristics, direction of arrival, etc.