Parameter estimation of random modulated chirp signals

Sanyogita Shamsunder, Georgios B. Giannakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We purpose algorithms to consistently estimate the time-varying delay via the coefficients of the polynomial φ(t) from a single record of the noisy observations x(t). The novel approach is shown to offer the following advantages over the existing ones. Provides a common frame-work for deterministic as well as random signals without regard to their distribution. Computationally efficient, optimal parameter estimation is possible even in non-Gaussian noise. Estimation is (theoretically) tolerant to any stationary noise. Can be generalized to maneuvering targets with varying acceleration. Sequential estimation versus multi-dimensional likelihood minimization. Preliminary simulations confirm the superior performance of these algorithms even with small data sizes and low SNR.

Original languageEnglish (US)
Title of host publicationProc Conf Oceans 93
PublisherPubl by IEEE
PagesI397-I398
ISBN (Print)0780313860
StatePublished - Dec 1 1993
EventProceedings of the Conference on Oceans '93. Part 1 (of 3) - Victoria, BC, Can
Duration: Oct 18 1993Oct 21 1993

Publication series

NameProc Conf Oceans 93

Other

OtherProceedings of the Conference on Oceans '93. Part 1 (of 3)
CityVictoria, BC, Can
Period10/18/9310/21/93

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