Reduced complexity FFT-based DOA and DOD estimation for moving target in bistatic MIMO radar
KAUST DepartmentPhysical Sciences and Engineering (PSE) Division
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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