1. A beamspace maximum likelihood algorithm for target height estimation for a bistatic MIMO radar.
- Author
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Chen, Sheng, Zhao, Yongbo, Hu, Yili, and Pang, Xiaojiao
- Subjects
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BISTATIC radar , *MIMO radar , *ALGORITHMS , *MULTISENSOR data fusion , *DATA transmission systems , *COMPUTATIONAL complexity , *RADAR - Abstract
This paper discusses beamspace target height estimation for bistatic multiple-input multiple-output (MIMO) radars. Beamspace super-resolution algorithms for target height estimation have attracted significant attention due to low data transmission, storage, and computation. However, current literature has not yet considered beamspace target height estimation for a bistatic MIMO radar. Although target height estimation algorithms can be directly applied to a bistatic MIMO radar after minor modifications, such a direct application does not afford optimum performance. Therefore, we develop a three-dimensional beamspace maximum likelihood data fusion (3D-BMLF) algorithm appropriate for the target height estimation algorithm of a bistatic MIMO radar. The 3D-BMLF algorithm first converts target signals from the element space to the 3D beamspace, separates the transmitter and the receiver signals, and obtains two closed-form solutions of target height using the beamspace ML algorithm. Finally, the proposed method fuses the two closed-form solutions by minimizing the mean square error (MSE) of estimation. As a result, the 3D-BMLF algorithm has a very low computational burden and good estimation accuracy. Our computational complexity analysis and simulation results demonstrate the suitability of the 3D-BMLF algorithm for engineering applications. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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