KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Online Publication Date2015-10-05
Print Publication Date2015-09
Permanent link to this recordhttp://hdl.handle.net/10754/621322
MetadataShow full item record
AbstractIn multiple-input multiple-output radar, to estimate the reflection coefficient, spatial location, and Doppler shift of a target, a derived cost function is usually evaluated and optimized over a grid of points. The performance of such algorithms is directly affected by the size of the grid: increasing the number of points will enhance the resolution of the algorithm but exponentially increase its complexity. In this work, to estimate the parameters of a target, a reduced complexity super resolution algorithm is proposed. For off-the-grid targets, it uses a low order two dimensional fast Fourier transform to determine a suboptimal solution and then an iterative algorithm to jointly estimate the spatial location and Doppler shift. Simulation results show that the mean square estimation error of the proposed estimators achieve the Cram'er-Rao lower bound. © 2015 IEEE.
CitationJardak S, Ahmed S, Alouini M-S (2015) Low Complexity Parameter Estimation For Off-the-Grid Targets. 2015 Sensor Signal Processing for Defence (SSPD). Available: http://dx.doi.org/10.1109/SSPD.2015.7288509.
Conference/Event name5th Sensor Signal Processing for Defence, SSPD 2015