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Article

2D-DOD and 2D-DOA Estimation for a Mixture of Circular and Strictly Noncircular Sources Based on L-Shaped MIMO Radar

1
School of Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China
2
Key Laboratory of Intelligent Perception and Advanced Control of State Ethnic Affairs Commission, Dalian 116600, China
3
School of Software, Qufu Normal University, Qufu 273165, China
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(8), 2177; https://doi.org/10.3390/s20082177
Received: 9 March 2020 / Revised: 10 April 2020 / Accepted: 11 April 2020 / Published: 12 April 2020
In this paper, a joint diagonalization based two dimensional (2D) direction of departure (DOD) and 2D direction of arrival (DOA) estimation method for a mixture of circular and strictly noncircular (NC) sources is proposed based on an L-shaped bistatic multiple input multiple output (MIMO) radar. By making full use of the L-shaped MIMO array structure to obtain an extended virtual array at the receive array, we first combine the received data vector and its conjugated counterpart to construct a new data vector, and then an estimating signal parameter via rotational invariance techniques (ESPRIT)-like method is adopted to estimate the DODs and DOAs by joint diagonalization of the NC-based direction matrices, which can automatically pair the four dimensional (4D) angle parameters and solve the angle ambiguity problem with common one-dimensional (1D) DODs and DOAs. In addition, the asymptotic performance of the proposed algorithm is analyzed and the closed-form stochastic Cramer–Rao bound (CRB) expression is derived. As demonstrated by simulation results, the proposed algorithm has outperformed the existing one, with a result close to the theoretical benchmark. View Full-Text
Keywords: MIMO radar; four dimensional (4D) angle estimation; noncircular signal; joint diagonalization; stochastic Cramer–Rao bound (CRB) MIMO radar; four dimensional (4D) angle estimation; noncircular signal; joint diagonalization; stochastic Cramer–Rao bound (CRB)
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MDPI and ACS Style

Fang, J.; Liu, Y.; Jiang, Y.; Lu, Y.; Zhang, Z.; Chen, H.; Wang, L. 2D-DOD and 2D-DOA Estimation for a Mixture of Circular and Strictly Noncircular Sources Based on L-Shaped MIMO Radar. Sensors 2020, 20, 2177. https://doi.org/10.3390/s20082177

AMA Style

Fang J, Liu Y, Jiang Y, Lu Y, Zhang Z, Chen H, Wang L. 2D-DOD and 2D-DOA Estimation for a Mixture of Circular and Strictly Noncircular Sources Based on L-Shaped MIMO Radar. Sensors. 2020; 20(8):2177. https://doi.org/10.3390/s20082177

Chicago/Turabian Style

Fang, Jiaxiong, Yonghong Liu, Yifang Jiang, Yang Lu, Zehao Zhang, Hua Chen, and Laihua Wang. 2020. "2D-DOD and 2D-DOA Estimation for a Mixture of Circular and Strictly Noncircular Sources Based on L-Shaped MIMO Radar" Sensors 20, no. 8: 2177. https://doi.org/10.3390/s20082177

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