NDLI: Efficient Active Sonar Parameter Estimation Using Linear FM Signals via Hermite Decompositions

Content Provider	IEEE Xplore Digital Library
Author	Sharif, M.R. Abeysekera, S.S.
Copyright Year	2006
Description	Author affiliation: Nanyang Technol. Univ., Singapore (Sharif, M.R.; Abeysekera, S.S.)
Abstract	Signals with finite time support are frequently encountered in sonar and radar processing. It is usually necessary to have a compact description of these signals' shape and time evolution. For this purpose, the Hermite series expansion is used in this paper to approximate an arbitrary enveloped linear frequency modulated (LFM) signal. The Hermite basis functions are based on the product of Hermite polynomials and a Gaussian function. The analytical expressions for the Fourier transform of LFM Hermite functions have been developed in this paper. It is proposed to use the Fourier transform of LFM Hermite functions for efficient computation of the wideband cross-ambiguity function (WCAF) for target parameter estimation in active sonar processing. Efficient two-dimensional (2-D) search methods are also proposed in this paper to obtain parameters from the WCAF.
Starting Page	1
Ending Page	5
File Size	3686223
Page Count	5
File Format	PDF
ISBN	9781424401376
DOI	10.1109/OCEANSAP.2006.4393951
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-05-16
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sonar Parameter estimation Frequency modulation Chirp modulation Fourier transforms Signal processing Radar signal processing Shape Polynomials Wideband 2-D peak search Arbitrary enveloped LFM signals Hermite demompositions WCAF
Content Type	Text
Resource Type	Article

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