Optimum Design for Sparse FDA-MIMO Automotive Radar

Sedighi, Saeid; Shankar, Bhavani; Mishra, Kumar Vijay; Ottersten, Björn

Reference : Optimum Design for Sparse FDA-MIMO Automotive Radar


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/10993/41865

Title :	Optimum Design for Sparse FDA-MIMO Automotive Radar
Language :	English
Author, co-author :	Sedighi, Saeid [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Shankar, Bhavani [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Mishra, Kumar Vijay [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	3-Nov-2019
Main document title :	Asilomar Conference on Signals, Systems, and Computers
Publisher :	IEEE
Peer reviewed :	Yes
Country :	CA, USA
Event name :	The $53^{\rm nd}$ annual Asilomar Conference on Signals, Systems, and Computers
Event date :	3-10-2019 to 6-10-2019
Event place (city) :	Pacific Grove
Event country :	CA, USA
Keywords :	[en] Automotive radar ; MIMO radar ; frequency diverse array
Abstract :	[en] Automotive radars usually employ multiple-input multiple-output (MIMO) antenna arrays to achieve high azimuthal resolution with fewer elements than a phased array. Despite this advantage, hardware costs and desired radar size limits the usage of more antennas in the array. Similar trade-off is encountered while attempting to achieve high range resolution which is limited by the signal bandwidth. However, nowadays given the demand for spectrum from communications services, wide bandwidth is not readily available. To address these issues, we propose a sparse variant of Frequency Diverse Array MIMO (FDA-MIMO) radar which enjoys the benefits of both FDA and MIMO techniques, including fewer elements, decoupling, and efficient joint estimation of target parameters. We then employ the Cram\'{e}r-Rao bound for angle and range estimation as a performance metric to design the optimal antenna placement and carrier frequency offsets for the transmit waveforms. Numerical experiments suggest that the performance of sparse FDA-MIMO radar is very close to the conventional FDA-MIMO despite 50\% reduction in the bandwidth and antenna elements.
Research centres :	Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM
Funders :	Fonds National de la Recherche - FnR
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/41865
FnR project :	FnR ; FNR11228830 > Saeid Sedighi > > Compressive Sensing for Ranging and Detection in Automotive Applications > 15/02/2017 > 14/02/2021 > 2016

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