Abstract
The problem of delay estimation is considered. The approach taken generally considers nonstationary signals and correlated measurement noises. The signals are described as the output of a finite dimensional linear system driven by white noise. The estimator is conceptually equivalent to two blocks. The first has the structure of a Kalman-Bucy filter for signals with delays [9]. The second minimizes the log-likelihood function. When stationary, long observation interval (SLOT) [7] assumptions are considered, the cross-correlator array receiver [1] is recovered. The results of the paper are then a generalization of the classical solution.
The present work has been supported by INIC
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References
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© 1985 D. Reidel Publishing Company
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Lourtie, I.M.G., Moura, J.M.F. (1985). Delay Estimation with Nonstationary Signals and Correlated Observation Noises. In: Urban, H.G. (eds) Adaptive Methods in Underwater Acoustics. NATO ASI Series, vol 151. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-5361-1_19
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DOI: https://doi.org/10.1007/978-94-009-5361-1_19
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