Paper Info
Title
Matched-Filter and Correlation-Based Imaging for Fast Moving Objects Using a Sparse Network of Receivers.
Abstract
In this paper we consider the problem of imaging a fast moving small object. The imaging system consists of a powerful emitter and several passive receivers located on the ground. Our aim is to compare the well-known matched-filter imaging method with correlation-based imaging. Imaging with correlations has the advantage of not requiring any knowledge about the probing pulse and the emitter position, both assumed known with high accuracy in the case of matched-filter imaging. But correlation-based imaging requires recording fully resolved signals without down-ramping while matched-filer imaging does not. To account for the fast moving target's velocity, Doppler compensation is necessary for both imaging methods. Our resolution analysis, from first principles, shows that with the two methods we have similar resolution in the cross-range direction, for both the location and the velocity of the moving target. In the range direction, matched-filter imaging has better resolution mainly because it benefits from the signal bandwidth, which is not true for correlation-based imaging that relies on travel time differences. We also analyze the role of the number of receivers and show that a small number of them sparsely distributed provides an image with resolution close to the one obtained with a dense array of comparable overall size.
Year
DOI
Venue
2017
10.1137/17M112364X
SIAM JOURNAL ON IMAGING SCIENCES
Keywords
Field
DocType
passive imaging,matched filter,cross correlation,sparse network
Cross-correlation,Common emitter,Mathematical analysis,Passive imaging,Pulse (signal processing),Correlation,Matched filter,Acoustics,Doppler effect,Mathematics
Journal
Volume
Issue
ISSN
10
4
1936-4954
Citations 
PageRank 
References 
0
0.34
3
Authors
4
Name
Order
Citations
PageRank
Jacques Fournier111.11
Josselin Garnier232647.70
George Papanicolaou319950.21
Chrysoula Tsogka44512.30