Abstract
This paper considers the identification of time-varying linear channels using maximum likelihood estimation. The channel is modelled as a tapped-delay line filter with complex coefficients. Due to the complexity of the likelihood function and the large number of parameters to be estimated, an analytical maximization of the likelihood function is infeasible. Therefore, gradient algorithms are considered in this paper. We consider the structure of the channel tap covariances, and present a gradient algorithm for finding the constrained maximum likelihood estimates of the channel parameters.
Original language | English |
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Title of host publication | IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC |
Editors | M. Viberg, J.-F. Cardoso |
Place of Publication | Piscataway, N.J. |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 1-4 |
Number of pages | 4 |
ISBN (Electronic) | 0780339452 |
ISBN (Print) | 0780339444 |
DOIs | |
Publication status | Published - Apr 1997 |
Externally published | Yes |
Event | Proceedings of the 1997 1st IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC'97 - Paris, Fr Duration: 16 Apr 1997 → 18 Apr 1997 |
Other
Other | Proceedings of the 1997 1st IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC'97 |
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City | Paris, Fr |
Period | 16/04/97 → 18/04/97 |