Abstract
Moving objects tracking is very important in intelligent systems. Two dimensional Beamforming technologies have been applied to create images, with additional information such as ranges and radial velocities. Most radars use two dimensional full array to sense the target. To achieve high resolution, with the increasing sensor number, the sampling and computation cost are large. In order to reduce the overall cost, some methods based on sparse arrays have been proposed to create radar images. The sensor number can be reduced without losing much information. In this paper, a two dimensional beamforming method based on low cost crossed array is proposed. One linear phased array transmitting beamforming is used to steer the angle of beams in one dimension while the other orthogonal linear phased array receiving beamforming is used to detect the angle of arrival in the other direction. The sampled one dimensional beamforming image combines with time of steering direction to create a two dimensional spectrum. The proposed algorithm is simulated and the results of the system is analyzed.
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Acknowledgments
This work is supported by the Startup Research Foundation for Ph.D. from the Nantong University, China (No. 03081080). This research was funded by the National Natural Science Foundation of China Grant Nos. 61801247 and 61901235
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Shi, J., Braun, R., Yu, Z., Chu, L., Shi, Q., Xu, Z. (2020). Tracking of Multiple Moving Objects Using Two Dimensional Beamforming Based on Low Cost Crossed Sensor Array. In: Klempous, R., Nikodem, J. (eds) Smart Innovations in Engineering and Technology. ICACON APCASE 2017 2017. Topics in Intelligent Engineering and Informatics, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-030-32861-0_16
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DOI: https://doi.org/10.1007/978-3-030-32861-0_16
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