Title :
A simple Kalman channel Equalizer using adaptive algorithms for time variant channel
Author :
Katwal, Swati ; Nath, R. ; Murmu, G.
Author_Institution :
Dept. of Electr. Eng., Nat. Inst. of Technol., Hamirpur, India
Abstract :
In this paper, Discrete Kalman filter is used as an equalizer for digital transmission because it suppresses the noise and intersymbol interference (ISI). Kalman equalizer is based on the least square optimization criterion and its structure is made adaptive by combining it in parallel with adaptive algorithms to estimate the channel coefficients. Least mean square (LMS) and Recursive Least Square (RLS) adaptive algorithms are used for identification of channel coefficients and have been implemented to study the performance of Kalman Equalizer. The performance index, Bit Error Rate (BER), of Kalman Equalizer with RLS and LMS adaptive algorithms named K-RLS and K-LMS respectively is studied via computer simulation for different SNR scenario. Simulation results shows that the performance of K-RLS has less BER as compared to that of K-LMS.
Keywords :
Kalman filters; equalisers; error statistics; intersymbol interference; least mean squares methods; optimisation; performance index; Kalman equalizer; bit error rate; channel coefficients; digital transmission; discrete Kalman filter; intersymbol interference; least mean square adaptive algorithm; least square optimization criterion; performance index; recursive least square adaptive algorithm; simple Kalman channel equalizer; time variant channel; Adaptive algorithms; Channel estimation; Equalizers; Kalman filters; Least squares approximation; Noise; Signal processing algorithms; Kalman equalizer; LMS; RLS;
Conference_Titel :
Signal Processing, Communication, Computing and Networking Technologies (ICSCCN), 2011 International Conference on
Conference_Location :
Thuckafay
Print_ISBN :
978-1-61284-654-5
DOI :
10.1109/ICSCCN.2011.6024539