{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T16:57:07Z","timestamp":1775667427486,"version":"3.50.1"},"reference-count":22,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2024,10,21]],"date-time":"2024-10-21T00:00:00Z","timestamp":1729468800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China (NSFC)","award":["62271261"],"award-info":[{"award-number":["62271261"]}]},{"name":"National Natural Science Foundation of China (NSFC)","award":["61971226"],"award-info":[{"award-number":["61971226"]}]},{"name":"National Natural Science Foundation of China (NSFC)","award":["62301252"],"award-info":[{"award-number":["62301252"]}]},{"name":"National Natural Science Foundation of China (NSFC)","award":["30922010717"],"award-info":[{"award-number":["30922010717"]}]},{"name":"Fundamental Research Funds for the Central Universities","award":["62271261"],"award-info":[{"award-number":["62271261"]}]},{"name":"Fundamental Research Funds for the Central Universities","award":["61971226"],"award-info":[{"award-number":["61971226"]}]},{"name":"Fundamental Research Funds for the Central Universities","award":["62301252"],"award-info":[{"award-number":["62301252"]}]},{"name":"Fundamental Research Funds for the Central Universities","award":["30922010717"],"award-info":[{"award-number":["30922010717"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Millimeter-wave radars are widely used in various environments due to their excellent detection capabilities. However, the detection performance in severe weather environments is still an important research challenge. In this paper, the propagation characteristics of millimeter-wave radar in a rainfall environment are thoroughly investigated, and the modeling of the millimeter-wave radar echo signal in a rainfall environment is completed. The effect of rainfall on radar detection performance is verified through experiments, and an anti-rain clutter interference method based on a convolutional neural network is proposed. The method combines image recognition and classification techniques to effectively distinguish target signals from rain clutter in radar echo signals based on feature differences. In addition, this paper compares the recognition results of the proposed method with VGGnet and Resnet. The experimental results show that the proposed convolutional neural network method significantly improves the target detection capability of the radar system in a rainfall environment, verifying the method\u2019s effectiveness and accuracy. This study provides a new solution for the application of millimeter-wave radar in severe weather conditions.<\/jats:p>","DOI":"10.3390\/rs16203907","type":"journal-article","created":{"date-parts":[[2024,10,21]],"date-time":"2024-10-21T09:58:24Z","timestamp":1729504704000},"page":"3907","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Anti-Rain Clutter Interference Method for Millimeter-Wave Radar Based on Convolutional Neural Network"],"prefix":"10.3390","volume":"16","author":[{"given":"Chengjin","family":"Zhan","sequence":"first","affiliation":[{"name":"School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China"}]},{"given":"Shuning","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China"}]},{"given":"Chenyu","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China"}]},{"given":"Si","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,10,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"11125","DOI":"10.1109\/JSEN.2022.3219643","article-title":"3-D Object Detection for Multiframe 4-D Automotive Millimeter-Wave Radar Point Cloud","volume":"23","author":"Tan","year":"2023","journal-title":"IEEE Sens. 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