NDLI: A low-complexity sparsity-based multi-target tracking algorithm for urban environments

Content Provider	IEEE Xplore Digital Library
Author	Chavali, P. Nehorai, A.
Copyright Year	2011
Description	Author affiliation: Department of Electrical and Systems Engineering, Washington University in St. Louis, One Brookings Drive, MO 63130, USA (Chavali, P.; Nehorai, A.)
Abstract	In this paper, we propose a low-complexity sparsity based multi-target tracking algorithm. We develop a finite dimensional representation of the received signal when the radar is operating in an urban environment. The dimensionality of the representation denotes the extra degrees of freedom that an urban environment offers. We employ spread-spectrum signaling to exploit the full diversity offered by the environment. We then develop a block-sparse measurement model by discretizing the delay-Doppler plane and prove that the dictionary of the block-sparse model exhibits a special structure under spread-spectrum signaling. This structure enables an efficient support recovery of the sparse vector, by projecting the measurement vector on the row space of the dictionary. Numerical simulations show that our tracking procedure takes significantly less time, while giving good tracking performance.
Starting Page	309
Ending Page	314
File Size	764182
Page Count	6
File Format	PDF
ISBN	9781424489015
ISSN	10975659
e-ISBN	9781424489022
DOI	10.1109/RADAR.2011.5960549
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target tracking Radar tracking Delay Dictionaries Doppler effect Indexes low-complexity support recovery Multi-target tracking spread-spectrum signaling
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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