Adaptive Kalman Filter based Channel Equalizer
Bharti Kaushal, Agya Mishra · 2012
Abstract- Channel Equalization is a necessity of the communication system. In this paper a channel Equalizer based on Adaptive Kalman Filter is presented. The performance indexes used for measurement are mean square error (MSE), Rate of convergence and signal to noise ratio (SNR). This analysis is compared with some other Adaptive Equalizer like recursive least square (RLS) and experimental results shows that this approach gives a less mean square error which is better than other equalizer with fast rate of convergence. Also experimented for different communication system like QAM (64 QAM, 16 QAM, 4QAM), QPSK and BPSK, results shows that this Equalizer is quite compatible with different digital modulator.