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Angle Estimation of Noncircular Source in MIMO Radar via Unitary Nyström Method

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Communications, Signal Processing, and Systems (CSPS 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 463))

Abstract

In this paper, a unitary Nyström method for joint direction of departure (DOD) and direction of arrival (DOA) estimation of noncircular sources in multiple-input multiple-output (MIMO) radar is proposed. Firstly, the noncircularity of the signals is used to enlarge the virtual aperture for improving the estimation performance. Then the real-valued signal subspace is achieved by using the unitary transformation and Nyström method, and finally the DOAs are estimated by combing with conjugate unitary ESPRIT (CU-ESPRIT) algorithm. The proposed method not only achieves the signal subspace without the estimation and eigenvalue decomposition (EVD) of the covariance matrix, but also involves real-valued processing. Thus, compared with the conventional conjugate ESPRIT and conjugate unitary ESPRIT algorithms, the proposed method has lower computational complexity. In addition, the proposed method provides comparable angle estimation performance. Simulation results are used to verify the effectiveness and advantages of the proposed method.

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Acknowledgments

This work is supported by Major Science and Technology Project of Hainan Province (ZDKJ2016015), National Natural Science Foundation of China (61661019,61462022), Natural Science Foundation of Hainan Province (617024,20156217) and Key Research and Development Program of Hainan Province (ZDYF2016010).

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Correspondence to Chunjie Cao .

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Wang, X., Huang, M., Cao, C., Li, H. (2019). Angle Estimation of Noncircular Source in MIMO Radar via Unitary Nyström Method. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_41

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  • DOI: https://doi.org/10.1007/978-981-10-6571-2_41

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  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

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