DocumentCode
2811245
Title
The role of the ambiguity function in compressed sensing radar
Author
Song, Xiufeng ; Zhou, Shengli ; Willett, Peter
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Connecticut, Storrs, CT, USA
fYear
2010
fDate
14-19 March 2010
Firstpage
2758
Lastpage
2761
Abstract
As is clear from the ambiguity function (AF) uncertainty principle and the underlying matched filtering operation, pulse compression (PC) radars cannot accurately and simultaneously measure both the time delay and Doppler shift of moving targets. On the other hand, compressed sensing (CS) radar would seem to be emerging as a means to do just that, jointly to estimate the delay and Doppler shift, through convex optimization instead of matched filtering, such that PC resolution limits no longer apply. However, it turns out that the AF is closely related to the CS “dictionary coherence coefficient,” which affects the optimization recoverability. In this paper we formalize this relationship.
Keywords
Doppler radar; matched filters; pulse compression; ambiguity function; compressed sensing radar; matched filtering operation; pulse compression radars; Compressed sensing; Delay estimation; Doppler radar; Doppler shift; Filtering; Matched filters; Pulse compression methods; Pulse measurements; Radar measurements; Time measurement; Radar; ambiguity function; compressed sensing; pulse compression; time-frequency (circular) shift dictionary;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location
Dallas, TX
ISSN
1520-6149
Print_ISBN
978-1-4244-4295-9
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2010.5496221
Filename
5496221
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