Study on system design of radar for LSS-target (the low altitude, slow speed, and small target) based on trajectory prediction

Qiang Wang; Haofei Mao; Yu Luo; Zhuobin Wang; Liang Li; Qingbin Hong

doi:10.1117/12.2674357

28 April 2023 Study on system design of radar for LSS-target (the low altitude, slow speed, and small target) based on trajectory prediction

Qiang Wang, Haofei Mao, Yu Luo, Zhuobin Wang, Liang Li, Qingbin Hong

Author Affiliations +

Proceedings Volume 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022); 1262607 (2023) https://doi.org/10.1117/12.2674357
Event: International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 2022, Zhuhai, China

Abstract

Nowadays, with the low-altitude airspace being open, the environment faced by radar is becoming more complex. Gliders, paramotors, and unmanned aerial vehicles (UAVs) are used more extensively, and the aerial targets may run into hundreds or even thousands. The ubiquitous noise, clutter, and interference also cause infinite uncertainties. In view of the increasingly complicated on-spot situation, this paper proposes a tracking algorithm of LSS-Target based on the adaptive Kalman filter, which utilizes MATLAB software to conduct the simulation analysis of the system algorithm and adopts the system building module of FPGA for simulation verification. Based on that, the research and development of the general radar system for tracking small targets and trajectory detection is carried out. This system can adjust the calculation of noise covariance according to the background environment, optimize the tracking algorithm adaptatively, and realize the processing of target tracking and the display of target information in real-time. Through the simulation experiment, the radar system based on the adaptive Kalman filter algorithm has high accuracy in target tracking and fine effectiveness in the target recognition, which can be widely applied to the tracking and detection of small targets.

Citation Download Citation

Qiang Wang, Haofei Mao, Yu Luo, Zhuobin Wang, Liang Li, and Qingbin Hong "Study on system design of radar for LSS-target (the low altitude, slow speed, and small target) based on trajectory prediction", Proc. SPIE 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 1262607 (28 April 2023); https://doi.org/10.1117/12.2674357

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KEYWORDS

Signal filtering

Tunable filters

Electronic filtering

Detection and tracking algorithms

Computer simulations

Linear filtering

Radar signal processing

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