Parameter Estimation of Multicomponent Chirp Signals via Sparse Representation

A novel algorithm for parameter estimation of multicomponent chirp signals in complicated noise environment is proposed. By the matching pursuit (MP) algorithm, the signal is decomposed into Gabor atoms which provide sparse information that represents the signal time-frequency signature. The Hough t...

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Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 2011-07, Vol.47 (3), p.2261-2268
Main Authors: Guo, Jinku, Zou, Hongxing, Yang, Xiaojun, Liu, Guangbin
Format: Article
Language:English
Subjects:
Aircraft components
Algorithms
Atomic clocks
Chirp
Chirp signals
Dictionaries
Estimating
Estimation
Hough transforms
Matching pursuit algorithms
Noise
Parameter estimation
Signal to noise ratio
Signatures
Time frequency analysis
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Summary:A novel algorithm for parameter estimation of multicomponent chirp signals in complicated noise environment is proposed. By the matching pursuit (MP) algorithm, the signal is decomposed into Gabor atoms which provide sparse information that represents the signal time-frequency signature. The Hough transform (HT) is then directly used to estimate the parameter of chirp components without computing the time-frequency distribution. Simulation results show that this algorithm is capable of estimating parameters of multicomponent chirp signals even in the presence of strong intended interference and colored noise.
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2011.5937300