Reference : Multi-Target Localization in Asynchronous MIMO Radars Using Sparse Sensing
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
Security, Reliability and Trust
http://hdl.handle.net/10993/32298
Multi-Target Localization in Asynchronous MIMO Radars Using Sparse Sensing
English
Sedighi, Saeid mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Shankar, Bhavani [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Maleki, Sina [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
2017
IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
Yes
International
IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
10-12-2017 to 13-12-2017
IEEE
Curaçao, Dutch Antilles
Netherland
[en] localization ; stepped frequency modulation ; joint range-DoA estimation ; sparse sensing
[en] Multi-target localization, warranted in emerging
applications like autonomous driving, requires targets to be
perfectly detected in the distributed nodes with accurate range
measurements. This implies that high range resolution is crucial
in distributed localization in the considered scenario. This work
proposes a new framework for multi-target localization, addressing
the demand for the high range resolution in automotive applications
without increasing the required bandwidth. In particular,
it employs sparse stepped frequency waveform and infers the
target ranges by exploiting sparsity in target scene. The range
measurements are then sent to a fusion center where direction of
arrival estimation is undertaken. Numerical results illustrate the
impact of range resolution on multi-target localization and the
performance improvement arising from the proposed algorithm
in such scenarios.
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/32298
10.1109/CAMSAP.2017.8313198

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