{"title":"用于估计振动膜片频率的穿墙式HB100雷达信号处理","authors":"Sujanya Kumari. T, L. P. Roy","doi":"10.1109/TENSYMP50017.2020.9230751","DOIUrl":null,"url":null,"abstract":"This paper presents radar signal processing techniques for measuring frequency of vibrating diaphragm through-the-wall, using a HB100 Doppler radar. The micro-Doppler features of radar are useful in determining the frequency of sound waves. Therefore, Doppler features are apprehended in a signal model for analysing through-the-wall diaphragm vibration. The same model is modified for Multiple Signal Classification (MUSIC) algorithm, in accurate measurement of frequency of sound waves, as conventional Fast Fourier Transform(FFT) algorithm incurs undesired additional frequency components. The experimental results presented in this paper signify that the background subtraction technique is preferred for through-the-wall scenario as it eliminates undesired frequency from the received signal and thus, measures the Doppler frequency precisely. Therefore, HB100 radar can be used for measuring through-the-wall vibration of sound source from its micro-motion signature.","PeriodicalId":6721,"journal":{"name":"2020 IEEE Region 10 Symposium (TENSYMP)","volume":"343 1","pages":"851-854"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Through-the-Wall HB100 Radar Signal Processing for Estimating Frequency of Vibrating Diaphragm\",\"authors\":\"Sujanya Kumari. T, L. P. Roy\",\"doi\":\"10.1109/TENSYMP50017.2020.9230751\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents radar signal processing techniques for measuring frequency of vibrating diaphragm through-the-wall, using a HB100 Doppler radar. The micro-Doppler features of radar are useful in determining the frequency of sound waves. Therefore, Doppler features are apprehended in a signal model for analysing through-the-wall diaphragm vibration. The same model is modified for Multiple Signal Classification (MUSIC) algorithm, in accurate measurement of frequency of sound waves, as conventional Fast Fourier Transform(FFT) algorithm incurs undesired additional frequency components. The experimental results presented in this paper signify that the background subtraction technique is preferred for through-the-wall scenario as it eliminates undesired frequency from the received signal and thus, measures the Doppler frequency precisely. Therefore, HB100 radar can be used for measuring through-the-wall vibration of sound source from its micro-motion signature.\",\"PeriodicalId\":6721,\"journal\":{\"name\":\"2020 IEEE Region 10 Symposium (TENSYMP)\",\"volume\":\"343 1\",\"pages\":\"851-854\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Region 10 Symposium (TENSYMP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TENSYMP50017.2020.9230751\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Region 10 Symposium (TENSYMP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TENSYMP50017.2020.9230751","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Through-the-Wall HB100 Radar Signal Processing for Estimating Frequency of Vibrating Diaphragm
This paper presents radar signal processing techniques for measuring frequency of vibrating diaphragm through-the-wall, using a HB100 Doppler radar. The micro-Doppler features of radar are useful in determining the frequency of sound waves. Therefore, Doppler features are apprehended in a signal model for analysing through-the-wall diaphragm vibration. The same model is modified for Multiple Signal Classification (MUSIC) algorithm, in accurate measurement of frequency of sound waves, as conventional Fast Fourier Transform(FFT) algorithm incurs undesired additional frequency components. The experimental results presented in this paper signify that the background subtraction technique is preferred for through-the-wall scenario as it eliminates undesired frequency from the received signal and thus, measures the Doppler frequency precisely. Therefore, HB100 radar can be used for measuring through-the-wall vibration of sound source from its micro-motion signature.