Title :
Adaptive per-survivor processing
Author :
Zhu, Zhenyu ; Sadjadpour, Hamid R.
Author_Institution :
Lucent Technol. Bell Labs., Allentown, PA, USA
fDate :
Oct. 29 2000-Nov. 1 2000
Abstract :
An adaptive per-survivor processing (PSP) algorithm is proposed to accurately decode the data and estimate the time-varying channels. With a variable step size parameter for a plurality of survivor paths, this new method eliminates the dependency of all the survivor paths and improves the convergence rate of channel estimation. It improves the performance of the original PSP, especially in the highly dynamic channels.
Keywords :
adaptive signal processing; convergence of numerical methods; decoding; least mean squares methods; multipath channels; time-varying channels; LMS algorithm; PSP; RLS; adaptive per-survivor processing algorithm; channel estimation; convergence rate; data decoding; dynamic Doppler frequency shift; dynamic channels; nonstationary channels; performance; time-varying channels; time-varying multipath effect; variable step size parameter; wireless communication; Channel estimation; Convergence; Degradation; Frequency estimation; Least squares approximation; Maximum likelihood decoding; Maximum likelihood estimation; Optimization methods; Time-varying channels; Wireless communication;
Conference_Titel :
Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-6514-3
DOI :
10.1109/ACSSC.2000.911297
