Abstract
We investigate the algorithm of direction and Doppler frequency estimation for bistatic multiple-input multiple-output (MIMO) radar in spatial colored noise. A novel method of joint estimation of direction and Doppler frequency in spatial colored noise based on propagator method (PM) for bistatic MIMO radar is discussed. Utilizing the cross-correlation matrix which is formed by the adjacent outputs of match filter in the time domain, the special matrix is constructed to eliminate the influence of spatial colored noise. The proposed algorithm provides lower computational complexity and has very close parameters estimation compared to estimation of signal parameters via rotational invariance technique (ESPRIT) algorithm in high signal-to-noise ratio (SNR). It is applicable even if the transmitted waveforms are not orthogonal. The estimated parameters can be paired automatically and the Cramér-Rao Bound (CRB) is given in spatial colored noise. Simulation results confirm the effectiveness of the proposed method.
Highlights
Since multiple-input multiple-output (MIMO) radars use multiple antennas to simultaneously transmit diverse waveforms and utilize multiple antennas to receive the reflected signals, they have many potential advantages over conventional phased-array radars [1,2,3,4]
MIMO radar with widely separated antennas can capture the spatial diversity of the target’s radar cross-section (RCS) [18]
Many advanced direction estimation algorithms for MIMO radar have been extensively discussed in the current literature which include ESPRIT algorithm, Capon algorithm, parallel factor (PARAFAC) algorithm, multiple signal classification (MUSIC) algorithm, and propagator method (PM) algorithm [25,26,27,28,29,30,31,32,33]
Summary
Since multiple-input multiple-output (MIMO) radars use multiple antennas to simultaneously transmit diverse waveforms and utilize multiple antennas to receive the reflected signals, they have many potential advantages over conventional phased-array radars [1,2,3,4]. MIMO radar with widely separated antennas can capture the spatial diversity of the target’s radar cross-section (RCS) [18] This spatial diversity provides radar system with the ability to improve target parameter estimation [19,20,21,22], high resolution target localization, and tracking performance [23, 24]. Yunhe [32] proposed the DOA matrix algorithm to estimate the DOD-DOA and Doppler frequency, but it cannot eliminate the influence of spatial colored noise. We propose a low-complexity angle and Doppler frequency. International Journal of Antennas and Propagation estimation algorithm which can reduce computational cost It has very close parameters estimation performance compared to ESRPIT and DOA matrix algorithm in high SNR.
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