A Novel Unitary ESPRIT Algorithm for Monostatic FDA-MIMO Radar
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State Key Laboratory of Marine Resource Utilization in South China Sea and School of Information and Communication Engineering, Hainan University, Haikou 570228, China
2
Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, Dalian 116620, China
3
Department of Mechanical Engineering, Kanagawa University, 3-27-1 Rokkakubashi, Kanagawa-ku, Yokohama 221-8686, Japan
*
Authors to whom correspondence should be addressed.
Sensors 2020, 20(3), 827; https://doi.org/10.3390/s20030827
Received: 6 December 2019
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Revised: 29 January 2020
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Accepted: 31 January 2020
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Published: 4 February 2020
(This article belongs to the Special Issue Recent Advances in Sensor Array and Multichannel Signal Processing with Its Applications to IoT Security)
A novel unitary estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm, for the joint direction of arrival (DOA) and range estimation in a monostatic multiple-input multiple-output (MIMO) radar with a frequency diverse array (FDA), is proposed. Firstly, by utilizing the property of Centro-Hermitian of the received data, the extended real-valued data is constructed to improve estimation accuracy and reduce computational complexity via unitary transformation. Then, to avoid the coupling between the angle and range in the transmitting array steering vector, the DOA is estimated by using the rotation invariance of the receiving subarrays. Thereafter, an automatic pairing method is applied to estimate the range of the target. Since phase ambiguity is caused by the phase periodicity of the transmitting array steering vector, a removal method of phase ambiguity is proposed. Finally, the expression of Cramér–Rao Bound (CRB) is derived and the computational complexity of the proposed algorithm is compared with the ESPRIT algorithm. The effectiveness of the proposed algorithm is verified by simulation results.
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MDPI and ACS Style
Liu, F.; Wang, X.; Huang, M.; Wan, L.; Wang, H.; Zhang, B. A Novel Unitary ESPRIT Algorithm for Monostatic FDA-MIMO Radar. Sensors 2020, 20, 827. https://doi.org/10.3390/s20030827
AMA Style
Liu F, Wang X, Huang M, Wan L, Wang H, Zhang B. A Novel Unitary ESPRIT Algorithm for Monostatic FDA-MIMO Radar. Sensors. 2020; 20(3):827. https://doi.org/10.3390/s20030827
Chicago/Turabian StyleLiu, Feilong, Xianpeng Wang, Mengxing Huang, Liangtian Wan, Huafei Wang, and Bin Zhang. 2020. "A Novel Unitary ESPRIT Algorithm for Monostatic FDA-MIMO Radar" Sensors 20, no. 3: 827. https://doi.org/10.3390/s20030827
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