Research on multitarget fusion and tracking methods for coherent bistatic MIMO radar in urban traffic scenarios

Haokai Sun; Chao Qian; Taotao Zhang; Changjie Liu; Weiqiang Ye; Dong Liu

doi:10.1117/12.3034786

11 July 2024 Research on multitarget fusion and tracking methods for coherent bistatic MIMO radar in urban traffic scenarios

Haokai Sun, Chao Qian, Taotao Zhang, Changjie Liu, Weiqiang Ye, Dong Liu

Author Affiliations +

Proceedings Volume 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024); 1321007 (2024) https://doi.org/10.1117/12.3034786
Event: Third International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 2024, Wuhan, China

Abstract

Introduced a multi target fusion and tracking method based on dual base coherent MIMO radar. The synchronization of the crystal oscillator and local oscillator signals of the dual base radar is achieved through fiber optic transmission, thereby achieving coherence between the dual base radars. By using the ESPRIT algorithm to estimate the transmitting azimuth DoD and receiving azimuth DoA, a joint estimation result of the target position by the dual base radar is obtained. By matching intermediate distance variables, the calculation results of the target position by the receiving radar are obtained. Match the target position calculation results of the transmitting and receiving radars with the joint estimation results of the dual base radars to obtain the vector velocity of the target. Perform multidimensional Kalman filtering based on the multi-dimensional position results and vector velocity of the target to achieve target tracking. This method can significantly improve the accuracy of target fusion and tracking, and shorten the time from target detection to target tracking.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Haokai Sun, Chao Qian, Taotao Zhang, Changjie Liu, Weiqiang Ye, and Dong Liu "Research on multitarget fusion and tracking methods for coherent bistatic MIMO radar in urban traffic scenarios", Proc. SPIE 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024), 1321007 (11 July 2024); https://doi.org/10.1117/12.3034786

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KEYWORDS

Radar

Radar signal processing

Radar sensor technology

Target detection

Matrices

Physical coherence

Oscillators

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