A Software-Defined Radar for Low-Altitude Slow-Moving Small Targets Detection Using Transmit Beam Control

Author:

Cai Lingping1,Qian Haonan1,Xing Linger1,Zou Yang1,Qiu Linkang1,Liu Zihan1,Tian Sirui1ORCID,Li Hongtao1ORCID

Affiliation:

1. School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

Abstract

Low-altitude slow-moving small (LSS) targets are defined as flying at altitudes less than 1000 m with speeds less than 55 m/s and a radar crossing-section (RCS) less than 2 m2. The detection performance of ground-based radar using the LSS target detection technique can be significantly deteriorated by the diversity of LSS targets, background clutter, and the occurrence of false alarms caused by multipath interference. To address the LSS target detection problem, we have devised a novel two-dimensional electronic scanning active phased array radar system that is implemented in the software-defined radar architecture and propose a transmit beam control algorithm based on the low peak-to-average ratio (PAPR). Meanwhile, we devised a flexible arbitrary radar waveform generator to adapt to complex environmental situations. Field experiment results effectively demonstrate that our radar can be used to detect LSS targets. Moreover, an ablation experiment was conducted to verify the role played by transmit beam control and adaptive waveform optimization and generation in improving the system performance.

Funder

Key Program of National Natural Science Foundations of China

Natural Science Foundation of Jiangsu Province

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference39 articles.

1. Xu, C., Jin, S., Ding, Z., Kuang, Q., Zhuang, S., and Li, H. (2022, January 15–17). Transmit beam control in low-altitude slow-moving small targets detection. Proceedings of the 2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP), Xi’an, China.

2. Progress and prospects of radar target detection and recognition technology for flying birds and unmanned aerial vehicles;Chen;J. Radars,2020

3. Application of acoustic detection technology in opening low altitude airspace;Zhang;Electroacoust. Technol.,2015

4. Omologo, M., and Svaizer, P. (1996, January 9). Acoustic source location in noisy and reverberant environment using CSP analysis. Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, Atlanta, GA, USA.

5. Dang, C., Li, Z., Hao, C., and Xiao, Q. (2023). Infrared small marine target detection based on spatiotemporal dynamics analysis. Remote Sens., 15.

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