Title :
Blind channel estimation and data recovery in DS spread spectrum systems
Author :
Al-Sanie, Abdulhameed M. ; Alshebeili, Saleh A.
Author_Institution :
Dept. of Electr. Eng., King Saud Univ., Riyadh, Saudi Arabia
Abstract :
A new approach to the problem of data detection for communications over band-limited channels with unknown channel-impulse response was proposed by. Vaidis and Weber (see IEEE Trans. on Commun., vol.46, p.232-43, 1998). This approach utilizes the Viterbi algorithm (VA) for maximum-likelihood sequence estimation (MLSE) in a block adaptive technique for simultaneous channel and data estimation. A novel computationally efficient modified VA is developed for MLSE in direct sequence (DS) spread spectrum system. The new modified VA is employed in the approach of Vaidis et al. for recovering DS spread spectrum signals in the presence of channel distortion and additive Gaussian noise. The simulation results show that the approach of Vaidis et al. implemented with the new modified VA achieves lower probability of error and higher speed of convergence
Keywords :
Viterbi detection; bandlimited communication; blind equalisers; convergence of numerical methods; error statistics; maximum likelihood sequence estimation; parameter estimation; spread spectrum communication; telecommunication channels; transient response; DS spread spectrum systems; DS-SS systems; MLSE; Viterbi algorithm; additive white Gaussian noise; band-limited channels; blind channel estimation; blind equalization algorithms; block adaptive technique; channel distortion; channel-impulse response; convergence speed; data detection; data estimation; data recovery; error probability; maximum-likelihood sequence estimation; military communication; simulation results; Additive noise; Blind equalizers; Computational modeling; Convergence; Distortion; Gaussian noise; Maximum likelihood detection; Maximum likelihood estimation; Spread spectrum communication; Viterbi algorithm;
Conference_Titel :
MILCOM 2000. 21st Century Military Communications Conference Proceedings
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-7803-6521-6
DOI :
10.1109/MILCOM.2000.904931
