DocumentCode :
1436181
Title :
Fast computation of the ambiguity function and the Wigner distribution on arbitrary line segments
Author :
Özdemir, Ahmet Kemal ; Arikan, Orhan
Author_Institution :
Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey
Volume :
49
Issue :
2
fYear :
2001
fDate :
2/1/2001 12:00:00 AM
Firstpage :
381
Lastpage :
393
Abstract :
By using the fractional Fourier transformation of the time-domain signals, closed-form expressions for the projections of their auto or cross ambiguity functions are derived. Based on a similar formulation for the projections of the auto and cross Wigner distributions and the well known two-dimensional (2-D) Fourier transformation relationship between the ambiguity and Wigner domains, closed-form expressions are obtained for the slices of both the Wigner distribution and the ambiguity function. By using discretization of the obtained analytical expressions, efficient algorithms are proposed to compute uniformly spaced samples of the Wigner distribution and the ambiguity function located on arbitrary line segments. With repeated use of the proposed algorithms, samples in the Wigner or ambiguity domains can be computed on non-Cartesian sampling grids, such as polar grids
Keywords :
Fourier transforms; Radon transforms; Wigner distribution; signal processing; signal sampling; time-frequency analysis; Radon-Wigner transformation; Wigner distribution; ambiguity function; arbitrary line segments; auto ambiguity; closed-form expressions; cross ambiguity; fast computation; fractional Fourier transformation; nonCartesian sampling grids; polar grids; time-domain signals; time-frequency signal processing; two-dimensional Fourier transformation; uniformly spaced samples; Algorithm design and analysis; Closed-form solution; Distributed computing; Grid computing; Kernel; Radar signal processing; Signal analysis; Signal processing algorithms; Time domain analysis; Time frequency analysis;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.902121
Filename :
902121
Link To Document :
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