Title :
Separation performance of ICA algorithms in communication systems
Author :
Parmar, S.D. ; Unhelkar, Bhuvan
Author_Institution :
Dept. of Electron. & Comm. Eng., Ganpat Univ., Kherva, India
Abstract :
In commercial cellular networks, like the systems based on direct sequence code division multiple access (DS-CDMA), many types of interferences can appear, starting from multi-user interference inside each sector in a cell to inter-operator interference. Also unintentional jamming can be present due to co-existing systems at the same band, whereas intentional jamming arises mainly in military applications. Independent Component Analysis (ICA) use as an advanced pre-processing tool for blind suppression of interfering signals in direct sequence spread spectrum communication systems utilizing antenna arrays. The role of ICA is to provide an interference-mitigated signal to the conventional detection. Several ICA algorithms exist for performing Blind Source Separation (BSS). ICA has been used to extract interference signals, but very less literature is available on the performance, i.e., how does it behave in communication environment. This needs an evaluation of its performance in communication environment. This paper evaluates the performance of some major ICA algorithms like Bell and Sejnowski´s infomax algorithm, Cardoso´s joint approximate diagonalization of eigen matrices (JADE) algorithm, Hyvarinen´s fixed point algorithm, Pearson-ICA algorithm and Comon´s algorithm in a communication blind source separation problem. Independent signals representing sub-Gaussian, Gaussian and mix users(sub-Gaussian, super-Gaussian and Gaussian) are generated and then mixed linearly to simulate communication signals. Separation performance of ICA algorithms measure by performance index.
Keywords :
antenna arrays; blind source separation; cellular radio; code division multiple access; independent component analysis; interference (signal); jamming; spread spectrum communication; DS-CDMA; antenna arrays; blind source separation; commercial cellular networks; direct sequence code division multiple access; direct sequence spread spectrum communication systems; fixed point algorithm; independent component analysis; infomax algorithm; interoperator interference; joint approximate diagonalization of eigen matrices; multiuser interference; unintentional jamming; Antenna accessories; Antenna arrays; Blind source separation; Direct-sequence code-division multiple access; Independent component analysis; Interference; Jamming; Land mobile radio cellular systems; Multiaccess communication; Spread spectrum communication;
Conference_Titel :
Multimedia, Signal Processing and Communication Technologies, 2009. IMPACT '09. International
Conference_Location :
Aligarh
Print_ISBN :
978-1-4244-3602-6
Electronic_ISBN :
978-1-4244-3604-0
DOI :
10.1109/MSPCT.2009.5164195