DocumentCode :
3611939
Title :
Separation and reconstruction of the rigid body and micro-Doppler signal in ISAR part II – statistical analysis
Author :
Stankovic?Œ??, Ljubisa ; Stankovic?Œ??, Srdjan ; Thayaparan, Thayananthan ; Dakovic?Œ??, Milos ; Orovic?Œ??, Irena
Author_Institution :
Fac. of Electr. Eng., Univ. of Montenegro, Podgorica, Montenegro
Volume :
9
Issue :
9
fYear :
2015
Firstpage :
1155
Lastpage :
1161
Abstract :
Micro-Doppler effect corresponds to non-stationary components in the time-frequency domain, while the rigid body can be considered as a stationary signal during the processing time. This property is used in the first part of the study to present the method for separation recovery based on the compressive sensing theory. Recovery bounds are based on the restricted isometry property or the coherence and spark analysis. Their calculation is a computationally difficult (Non-deterministic Polynomial-time (NP) hard) problem. These bounds also produce very pessimistic results. It is the reason to consider the statistical analysis of the reconstruction results. The statistical approach is presented in this part of the study and illustrated by examples, including a detailed case study example.
Keywords :
Doppler effect; compressed sensing; computational complexity; radar signal processing; signal reconstruction; source separation; statistical analysis; synthetic aperture radar; time-frequency analysis; ISAR; NP hard problem; coherence analysis; compressive sensing theory; microDoppler effect; microDoppler signal reconstruction; microDoppler signal separation recovery; recovery bounds; restricted isometry property; rigid body reconstruction; rigid body separation recovery; spark analysis; stationary signal; statistical analysis; time-frequency domain;
fLanguage :
English
Journal_Title :
Radar, Sonar Navigation, IET
Publisher :
iet
ISSN :
1751-8784
Type :
jour
DOI :
10.1049/iet-rsn.2015.0137
Filename :
7348891
Link To Document :
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