Adaptive methods for highly impulsive noise restraining in CPFSK receiver

It is well known that when communication signal is contaminated by highly impulsive noise, conventional nonlinear devices may perform poorly in communication system. This paper presents an adaptive impulsive noise restraining processor (AINRP) to restrain highly impulsive noise in CPFSK receiver. Results of researches show the waveform predictor of AINRP could predict the waveform of CPFSK signal quickly and exactly. Compared to clipper, it can reduce the signal distortion which is caused by nonlinear processing, then decrease the probability of error judgment during demodulation, improve the performance of receiver, especially in highly impulsive noise environment.