SIMULASI IDENTIFIKASI KANAL LINTAS-JAMAK PADA WCDMA SECARA ADAPTIF DENGAN FILTER NLMS DAN LMS
Abstract: This research was
solely conducted to observe the adaptive filter ability in identification of
multipath channel for Wideband Code Division Multiple Access (WCDMA). The
method used was limited to a simulation of mutipath channel identification by
adaptive filter, which imitated the characteristics of the channel. LMS (Least
Mean Square) and NLMS (Normalized Least Mean Square) filter were observed,
where as Kalman was used to compare the results. There were some variable to be
varied in this simulation, namely the convergence variable, the filter length,
and the SNR. Channel identification analysis is based on the estimated channel
coefficients compared with channel coefficients, the convergence constant of
adaptive filter, the adaptation time, the mean square errors (MSE), and the bit
error rates. The results show that NLMS filter has a good performance in
channel identification. LMS filter has largest mean square error in the channel
identification. Kalman gives more precise results but has complex algorithm.
Kalman left the least mean square error, which is 4.1e-34 at 0.16 of
convergence rate. All filters have good performance on signal detection in
various signal to noise ratio, especially for SNR ³ 10 dB. Bit error rate at 10 dB SNR is 3.33e-4.
Penulis: Dhidik Prastiyanto,
Adhi Susanto, Thomas Sri Widodo
Kode Jurnal: jptkomputerdd060016
