Reduced complexity FFT-based DOA and DOD estimation for moving target in bistatic MIMO radar
KAUST DepartmentCommunication Theory Lab
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Physical Science and Engineering (PSE) Division
KAUST Grant NumberURF/1/1713-01-01
Online Publication Date2016-06-24
Print Publication Date2016-03
Permanent link to this recordhttp://hdl.handle.net/10754/621350
MetadataShow full item record
AbstractIn this paper, we consider a bistatic multiple-input multiple-output (MIMO) radar. We propose a reduced complexity algorithm to estimate the direction-of-arrival (DOA) and direction-of-departure (DOD) for moving target. We show that the calculation of parameter estimation can be expressed in terms of one-dimensional fast-Fourier-transforms which drastically reduces the complexity of the optimization algorithm. The performance of the proposed algorithm is compared with the two-dimension multiple signal classification (2D-MUSIC) and reduced-dimension MUSIC (RD-MUSIC) algorithms. It is shown by simulations, our proposed algorithm has better estimation performance and lower computational complexity compared to the 2D-MUSIC and RD-MUSIC algorithms. Moreover, simulation results also show that the proposed algorithm achieves the Cramer-Rao lower bound. © 2016 IEEE.
CitationAli H, Ahmed S, Al-Naffouri TY, Alouini M-S (2016) Reduced complexity FFT-based DOA and DOD estimation for moving target in bistatic MIMO radar. 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Available: http://dx.doi.org/10.1109/ICASSP.2016.7472232.
Conference/Event name41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016