Title :
Non-Wiener effects in LMS-implemented adaptive equalizers
Author :
Reuter, Michael ; Zeidler, James
Author_Institution :
Naval Command, Control & Ocean Surveillance Center, San Diego, CA, USA
Abstract :
An adaptive transversal equalizer based upon the least-mean-square (LMS) algorithm, operating in an environment with temporally correlated interference can exhibit better steady-state mean-square-error (MSE) performance than the corresponding Wiener filter. This phenomenon is a result of the nonlinear nature of the LMS algorithm and is obscured by traditional analysis approaches that utilize the independence assumption. We use a transfer function approach to quantify the MSE performance of the LMS algorithm and demonstrate that the degree to which LMS may outperform the corresponding Wiener filter is dependent on system parameters such as signal-to-noise ratio and the step-size parameter
Keywords :
adaptive equalisers; interference suppression; least mean squares methods; transfer functions; LMS-implemented adaptive equalizers; MSE performance; Wiener filter; adaptive transversal equalizer; least-mean-square algorithm; nonWiener effects; signal-to-noise ratio; steady-state mean-square-error performance; step-size parameter; temporally correlated interference; transfer function approach; Adaptive equalizers; Adaptive filters; Interference; Least squares approximation; Noise cancellation; Oceans; Steady-state; Surveillance; Transfer functions; Wiener filter;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.599602
