Title :
An adaptive per-survivor processing algorithm
Author :
Zhu, Zhenyu ; Sadjadpour, Hamid R.
Author_Institution :
Dept. of Electron. Eng. & Comput. Sci., Lehigh Univ., Andover, MA, USA
fDate :
11/1/2002 12:00:00 AM
Abstract :
We propose an adaptive and parameter-independent per-survivor processing algorithm to improve the receiver performance on time-varying channels. With a variable step size 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.
Keywords :
adaptive signal processing; channel estimation; convergence of numerical methods; land mobile radio; radio receivers; time-varying channels; Doppler shift frequencies; TDMA data packets; adaptive per-survivor processing algorithm; channel estimation; convergence rate; mobile phones; parameter-independent per-survivor processing; receiver performance; survivor paths; time-varying channels; transceivers; variable step size; Channel estimation; Convergence; Degradation; Least squares approximation; Maximum likelihood decoding; Maximum likelihood detection; Maximum likelihood estimation; Parameter estimation; Time-varying channels; Wireless communication;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2002.805272
