Title :
Convergence analysis of multi-stage PIC detectors
Author :
Nguyen, Van Khanh
Author_Institution :
Sch. of Eng. & Technol., Deakin Univ., Geelong, Vic.
Abstract :
This paper analyses the convergence behaviour of the parallel interference cancellation (PIC) detector in code division multiple access (CDMA) systems. Using the results from previous stability analysis of an iterated-map neural network, the paper derives a general condition from which the sufficient condition for convergence of the PIC detector with tentative decision functions that are monotonically increasing at a sublinear rate can be calculated. As examples, the paper derives the sufficient conditions for convergence of the PIC detector with the clip decision and the hyperbolic tangent decision functions. The paper also examines the convergence behaviour of the PIC detector with hyperbolic tangent decision function via computer simulation and compares it with the analytical results
Keywords :
code division multiple access; convergence; interference suppression; neural nets; radiofrequency interference; telecommunication computing; CDMA systems; clip decision; code division multiple access systems; convergence analysis; hyperbolic tangent decision functions; iterated-map neural network; multistage PIC detectors; parallel interference cancellation detector; tentative decision functions; Australia; Convergence; Detectors; Interference cancellation; Limit-cycles; Multiaccess communication; Multiple access interference; Multiuser detection; Neural networks; Sufficient conditions;
Conference_Titel :
Industrial Technology, 2005. ICIT 2005. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-9484-4
DOI :
10.1109/ICIT.2005.1600824