Signal Processing - Signal processing with heavy-tailed models
Impulse detection and rejection methods for radio systems
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume II
Neuro-fuzzy logic in signal processing for communications: from bits to protocols
NOLISP'05 Proceedings of the 3rd international conference on Non-Linear Analyses and Algorithms for Speech Processing
Adaptive Rake receiver based on the nonlinear ACM technique
Wireless Communications & Mobile Computing
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The narrow-band interference suppression capability of spread-spectrum systems can be further enhanced by employing interference suppression filters. This paper proposes a number of new nonlinear algorithms for narrow-band interference suppression in code division multiple access spread-spectrum systems. Our research consists of two parts. (1) We propose a multiuser decision-directed Kalman (MDK) filter, which has the same performance as the nonlinear approximate conditional mean (ACM) filter but a much simpler algorithm. (2) We use the nonlinear function in the ACM and the MDK filters to develop nonlinear adaptive least mean square filters with significantly improved performance. Simulation results indicate that our nonlinear algorithms outperform conventional linear ones