{"title":"基于汽车雷达有意局部干扰的 FMCW 干扰波形估计","authors":"Sungpil Cheon, Hyungwoo Kim, B. Kim","doi":"10.26866/jees.2024.4.r.222","DOIUrl":null,"url":null,"abstract":"We propose a new method to estimate the waveforms of frequency-modulated continuous-wave (FMCW) interferers by intentional interference. The proposed method utilizes the crossing interference of FMCW radar by adaptive waveform configuration. The victim radar analyzes the periodicity and frequency of the interference signal from the mixer at the FMCW receiver. The bandwidth, slope, and intervals of the interferer waveform are derived from multiple adaptive waveforms from interference detection results. The estimated time and frequency waveform parameters of the interferer can be utilized to generate an interference-free waveform. The proposed approach has been tested and validated using two different mmWave commercial off-the-shelf automotive FMCW radars: the AWR2243 and AWR2944 evaluation boards. In three different scenarios in indoor and outdoor environments, the proposed method successfully estimated interferer waveform parameters with 0.9 seconds of monitoring processing and less than 3% error.","PeriodicalId":15662,"journal":{"name":"Journal of electromagnetic engineering and science","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"FMCW Interference Waveform Estimation Based on Intentional Local Interference for Automotive Radars\",\"authors\":\"Sungpil Cheon, Hyungwoo Kim, B. Kim\",\"doi\":\"10.26866/jees.2024.4.r.222\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a new method to estimate the waveforms of frequency-modulated continuous-wave (FMCW) interferers by intentional interference. The proposed method utilizes the crossing interference of FMCW radar by adaptive waveform configuration. The victim radar analyzes the periodicity and frequency of the interference signal from the mixer at the FMCW receiver. The bandwidth, slope, and intervals of the interferer waveform are derived from multiple adaptive waveforms from interference detection results. The estimated time and frequency waveform parameters of the interferer can be utilized to generate an interference-free waveform. The proposed approach has been tested and validated using two different mmWave commercial off-the-shelf automotive FMCW radars: the AWR2243 and AWR2944 evaluation boards. In three different scenarios in indoor and outdoor environments, the proposed method successfully estimated interferer waveform parameters with 0.9 seconds of monitoring processing and less than 3% error.\",\"PeriodicalId\":15662,\"journal\":{\"name\":\"Journal of electromagnetic engineering and science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of electromagnetic engineering and science\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.26866/jees.2024.4.r.222\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of electromagnetic engineering and science","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.26866/jees.2024.4.r.222","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
FMCW Interference Waveform Estimation Based on Intentional Local Interference for Automotive Radars
We propose a new method to estimate the waveforms of frequency-modulated continuous-wave (FMCW) interferers by intentional interference. The proposed method utilizes the crossing interference of FMCW radar by adaptive waveform configuration. The victim radar analyzes the periodicity and frequency of the interference signal from the mixer at the FMCW receiver. The bandwidth, slope, and intervals of the interferer waveform are derived from multiple adaptive waveforms from interference detection results. The estimated time and frequency waveform parameters of the interferer can be utilized to generate an interference-free waveform. The proposed approach has been tested and validated using two different mmWave commercial off-the-shelf automotive FMCW radars: the AWR2243 and AWR2944 evaluation boards. In three different scenarios in indoor and outdoor environments, the proposed method successfully estimated interferer waveform parameters with 0.9 seconds of monitoring processing and less than 3% error.
期刊介绍:
The Journal of Electromagnetic Engineering and Science (JEES) is an official English-language journal of the Korean Institute of Electromagnetic and Science (KIEES). This journal was launched in 2001 and has been published quarterly since 2003. It is currently registered with the National Research Foundation of Korea and also indexed in Scopus, CrossRef and EBSCO, DOI/Crossref, Google Scholar and Web of Science Core Collection as Emerging Sources Citation Index(ESCI) Journal. The objective of JEES is to publish academic as well as industrial research results and discoveries in electromagnetic engineering and science. The particular scope of the journal includes electromagnetic field theory and its applications: High frequency components, circuits, and systems, Antennas, smart phones, and radars, Electromagnetic wave environments, Relevant industrial developments.