Abstract
A low complexity unitary estimating signal parameter via rotational invariance techniques (ESPRIT) algorithm is presented for angle estimation in bistatic multiple-input-multiple-output (MIMO) radar. The devised algorithm only requires calculating two submatrices covariance matrix, which reduces the computation cost in comparison with subspace methods. Moreover, the signal subspace can be efficiently acquired by exploiting the NystrÖm method, which only needs O M N K 2 flops. Thus, the presented algorithm has an essentially diminished computational effort, especially useful when K ≪ M N , while it can achieve efficient angle estimation accuracy as well as the existing algorithms. Several theoretical analysis and simulation results are provided to demonstrate the usefulness of the proposed scheme.
Highlights
Target estimation has been a significant problem in radar systems, which has been applied in widespread in sonar, guidance systems, speech processing, communication, medical signal processing, and other fields [1,2,3]
We mainly focus on the DOD and DOA estimation issue in the bistatic MIMO radar
We suppose that there exist three noncoherent targets and their location is at angles (θ1, φ1) (10°, 20°), (θ2, φ2) (−8°, 30°), and (θ3, φ3) (0°, 45°), respectively. e root mean squared error (RMSE) of over angle [9] is exploited in the simulation experiments
Summary
Target estimation has been a significant problem in radar systems, which has been applied in widespread in sonar, guidance systems, speech processing, communication, medical signal processing, and other fields [1,2,3]. Considerable research interests have been drawn to MIMO radar [4,5,6,7,8,9,10,11,12,13], which exploits multiple antennas to emit diverse waveforms and utilizes multiple antennas to receive the echo signals [14]. MIMO radars can be divided into two types, the collocated MIMO radar and the statistical MIMO radar, based on the different array antenna configurations [19]. Due to the fact that the emitting and receiving antennas are not in the identical location, the DOD and DOA estimation has become a considerable research matter [4, 18,19,20,21]. We mainly focus on the DOD and DOA estimation issue in the bistatic MIMO radar
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