Joint signal detection and parameter estimation in multiuser communications

The problem of simultaneously detecting the information bits and estimating signal amplitudes and phases in a K-user asynchronous direct-sequence spread-spectrum multiple-access communication system is addressed. The joint maximum-likelihood (ML) estimator has a computational complexity that is expo...

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Bibliographic Details
Published in:IEEE transactions on communications 1993-08, Vol.41 (8), p.1208-1216
Main Authors: Xie, Z., Rushforth, C.K., Short, R.T., Moon, T.K.
Format: Article
Language:English
Subjects:
Amplitude estimation
Applied sciences
Computational complexity
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Information, signal and communications theory
Maximum likelihood detection
Maximum likelihood estimation
Parameter estimation
Phase detection
Phase estimation
Recursive estimation
Signal and communications theory
Signal detection
Signal, noise
Spread spectrum communication
Telecommunications and information theory
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Summary:The problem of simultaneously detecting the information bits and estimating signal amplitudes and phases in a K-user asynchronous direct-sequence spread-spectrum multiple-access communication system is addressed. The joint maximum-likelihood (ML) estimator has a computational complexity that is exponential in the total number of bits transmitted and thus does not represent a practical solution to the problem. An estimator that combines a suboptimum tree-search algorithm with a recursive least-squares estimator of complex signal amplitude is considered. The complexity of this estimator is O(K/sup 2/) computations per decoded bit, and its performance is very close to that of the joint ML receiver. This receiver has the advantage that the transmitted signal powers and phases are extracted from the received signal in an adaptive fashion without using a test sequence.< >
ISSN:0090-6778
1558-0857
DOI:10.1109/26.231964