1. Estimation of Multipath Channels With Long Impulse Response at Low SNR via an MCMC Method.
- Author
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Rabaste, Olivier and Chonavel, Thierry
- Subjects
- *
SIGNAL-to-noise ratio , *INFORMATION measurement , *SIGNAL processing , *DISTRIBUTION (Probability theory) , *GAUSSIAN processes , *SIMULATION methods & models , *MARKOV processes , *ALGORITHMS - Abstract
This paper addresses the estimation of multipath channels with long impulse response at low signal-to-noise ratio (SNR). The channel sparseness impulse response is modeled by means of a Bernoulli-Gaussian process. Then, the optimization of the resulting posterior distribution resorts to Monte Carlo Markov chain (MCMC) simulation techniques. Special attention is devoted to noise correlation involved by matched filtering: Taking this correlation into account in the algorithm derivation leads to significantly improved performance for both amplitude and time-delay estimation. The method is also extended to cope with Doppler frequency offsets. In particular, simultaneous paths with different Doppler offsets can be estimated. Cramér-Rao lower bounds (CRLBs) are derived and presented together with simulation results. [ABSTRACT FROM AUTHOR]
- Published
- 2007
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