Research Article
X-band Radar Detection Target Tracking Method Based on Internet of Things Sensing Technology
@INPROCEEDINGS{10.1007/978-3-030-94185-7_19, author={Fengshuo Yan and Kui Xiong and Mingyang Gao and Yanxin Shu}, title={X-band Radar Detection Target Tracking Method Based on Internet of Things Sensing Technology}, proceedings={IoT and Big Data Technologies for Health Care. Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part I}, proceedings_a={IOTCARE}, year={2022}, month={6}, keywords={Internet of things perception technology Aircraft wake X-band radar Tracking method Echo intensity}, doi={10.1007/978-3-030-94185-7_19} }- Fengshuo Yan
Kui Xiong
Mingyang Gao
Yanxin Shu
Year: 2022
X-band Radar Detection Target Tracking Method Based on Internet of Things Sensing Technology
IOTCARE
Springer
DOI: 10.1007/978-3-030-94185-7_19
Abstract
If echo data of civil aviation wake scattering can be obtained by Aircraft wake X-band radar detection, which can provide reference data for the stable operation of aircraft. However, the existing target tracking methods have the problem of imperfect target tracking mode, which leads to poor echo strength. A target tracking method of Aircraft wake X-band radar detection based on IOT sensing technology is designed. The structural characteristics of dynamic target are acquired, the target tracking task is formulated, the Aircraft wake X-band radar detection imaging area is set, the distance between the detection imaging area and the target position is calculated, the information fusion technology is used to suppress the same frequency interference clutter, the radio frequency rate of radar in frequency domain and space domain is adjusted, and the sliding window residual is used to obtain the track extrapolation motion track, and the target distance and the target position are measured According to the spatial position of azimuth angle and pitch angle, the target tracking mode is set based on the Internet of things perception technology, and the data association rules are designed. Experimental results: the average echo intensity of the designed tracking method is 16.777% and 15.461% higher than that of the two existing target tracking methods, respectively, which proves that the target tracking method combined with IOT sensing technology has better practical application effect.
