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
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;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5496221