Paper Info
Title
Optimum Design For Sparse Fda-Mimo Automotive Radar
Abstract
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 Cramer-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.
Year
DOI
Venue
2019
10.1109/IEEECONF44664.2019.9048834
CONFERENCE RECORD OF THE 2019 FIFTY-THIRD ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS
Keywords
DocType
ISSN
Automotive radar, Cramer-Rao bound, frequency diverse array, MIMO radar, optimization
Conference
1058-6393
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Saeid Sedighi1215.80
M. R. Bhavani Shankar219026.57
Kumar Vijay Mishra316419.95
Björn E. Ottersten46418575.28