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Computationally Efficient DOA Estimation Algorithm for MIMO Radar With Imperfect Waveforms
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DOI：10.1109/LCOMM.2019.2911285.png)
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Abstract
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Orthogonal waveforms are often desirable to multiple-input multiple-output (MIMO) radar systems. Unfortunately, the orthogonality may not be always guaranteed in practice. In this letter, we consider the direction-of-arrival (DOA) estimation problem in colocated MIMO radar with imperfect waveforms, and a new methodology is presented. The noiseless cross-covariance matrix is obtained by utilizing the spatial cross-correlation technique. DOAs are obtained via reduced-dimension multiple signal classification (RD-MUSIC). In contrast to the state-of-the-art matrix completion (MC) algorithm, the proposed RD-MUSIC method is computationally more efficient and may have an estimation performance more accurate than the existing MC approach. The numerical results show the improvement in the proposed scheme.
Keywords:
Direction-of-arrival estimation
multiple-input multiple-output radar
non-orthogonal waveforms
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