4.6 Article

An Improved Propagator Estimator for DOA Estimation in Monostatic MIMO Radar in the Presence of Imperfect Waveforms

期刊

IEEE ACCESS
卷 7, 期 -, 页码 148771-148778

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2019.2943167

关键词

Direction-of-arrival estimation; multiple-input multiple-output radar; non-orthogonal waveforms; propagator

资金

  1. National Natural Science Foundation of China [61701046, 61861015]
  2. Hainan Natural Science Foundation Innovation Research Team Project [2017CXTD0004]
  3. Key Project of Scientific Research of Higher Education in Hainan Province [Hnky2019ZD-35]
  4. Collaborative Innovation Fund of Tianjin University [HDTDU201906]
  5. Hainan University [HDTDU201906]

向作者/读者索取更多资源

This paper discusses the direction-of-arrival (DOA) estimation problem in multiple-input multiple-output (MIMO) radar with non-orthogonal waveforms. Unlike the traditional orthogonal waveforms-based counterparts, spatially colored noise as well as corrupted virtual direction matrix would appear due to the correlated waveforms in DOA estimation. To tackle these issues, an improved propagator estimator is developed. The spatially colored noise caused by waveform imperfectly is eliminated via cross-correlation technique. Thereafter, DOA is obtained by exploiting the propagator and invariant techniques. The proposed estimator does not involve eigendecomposition of the high dimensional matrix, and it provides closed-form solution for DOA estimation. Compared with the existing frameworks, it is computationally much more economic. Moreover, it offers very close DOA estimation accuracy to the matrix-based methods. Numerical simulations are carried out to show the improvement of the proposed estimator.

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