Paper
5 October 2021 Target detection and recognition of radar spectrum image based on deep learning
Hanyu Zou, Xin Chen, Chenxi Wang, Song He, Xiao Tang
Author Affiliations +
Proceedings Volume 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning; 119110S (2021) https://doi.org/10.1117/12.2604729
Event: 2nd International Conference on Computer Vision, Image and Deep Learning, 2021, Liuzhou, China
Abstract
The vehicle-mounted millimeter-wave radar has been widely used in modern vehicles. The radar needs accurate feedback on the information about the surrounding environment, and the driverless cars also need to have extremely high safety.Therefore, it is of great significance to enhance the ability of the vehicle-mounted millimeter-wave radar to detection of the surrounding targets. Traditional vehicle-mounted millimeter-wave radar usually signals the target echo signal and finally get the target information. In the signal processing process, it is greatly affected by the weather environment, so it is difficult to ensure a sustainable high detection rate. Therefore, a deep learning-based radar spectrum target detection method is proposed to quickly identify the objects present in the echo spectrum. First, the vehiclemounted millimeter radar spectrum mat format data is extracted, make the dataset for training, then adjust and optimize the SSD (Single Shot Multibox Detector) model according to the situation of the data set, and identify the spectral image using the optimized a training model. In the experiment, 11635 pictures were divided into training set and test set at 9:1, and the average mAP of various targets reached 94.35%, thus detecting the radar echo spectrum based on deep learning and achieving good results. The proposed spectral target detection method can be applied to vehicle-mounted millimeterwave radar.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hanyu Zou, Xin Chen, Chenxi Wang, Song He, and Xiao Tang "Target detection and recognition of radar spectrum image based on deep learning", Proc. SPIE 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning, 119110S (5 October 2021); https://doi.org/10.1117/12.2604729
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KEYWORDS
Radar

Target detection

Target recognition

Detection and tracking algorithms

Image processing

Machine learning

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