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 : Optimum Design for Sparse FDA-MIMO Automotive Radar Author, co-author : Sedighi, Saeid Shankar, Bhavani Mishra, Kumar Vijay Ottersten, Björn 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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