Daofang Feng, Wei Pan, Anlai Mao, Bingjian Jin, Yuanwen Li, Min Li
{"title":"基于声压差滤波的粒子速度重建等效源方法","authors":"Daofang Feng, Wei Pan, Anlai Mao, Bingjian Jin, Yuanwen Li, Min Li","doi":"10.1109/ICICSP55539.2022.10050683","DOIUrl":null,"url":null,"abstract":"During the particle velocity reconstruction, the sound energy will be dissipated and the particle velocity will be underestimated, due to the attenuation characteristic of particle velocity and the interference of measurement noise. To solve the above problem, an equivalent source method based on the sound pressure differential filter (PDF-ESM) was proposed. The method uses the sound pressure differential filter to obtain the distribution information of the sound source and focus the sound energy. Meanwhile, it uses the sparse equivalent source method to solve the precise source strength and reconstruct the particle velocity. Simulation and experiment of coherent and incoherent sound sources over 200–1600 Hz show the particle velocity results computed by PDF-ESM have smaller side lobes after the sound energy is focused and smaller reconstruction errors.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Equivalent Source Method Based on Sound Pressure Differential Filter for Particle Velocity Reconstruction\",\"authors\":\"Daofang Feng, Wei Pan, Anlai Mao, Bingjian Jin, Yuanwen Li, Min Li\",\"doi\":\"10.1109/ICICSP55539.2022.10050683\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"During the particle velocity reconstruction, the sound energy will be dissipated and the particle velocity will be underestimated, due to the attenuation characteristic of particle velocity and the interference of measurement noise. To solve the above problem, an equivalent source method based on the sound pressure differential filter (PDF-ESM) was proposed. The method uses the sound pressure differential filter to obtain the distribution information of the sound source and focus the sound energy. Meanwhile, it uses the sparse equivalent source method to solve the precise source strength and reconstruct the particle velocity. Simulation and experiment of coherent and incoherent sound sources over 200–1600 Hz show the particle velocity results computed by PDF-ESM have smaller side lobes after the sound energy is focused and smaller reconstruction errors.\",\"PeriodicalId\":281095,\"journal\":{\"name\":\"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICSP55539.2022.10050683\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICSP55539.2022.10050683","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Equivalent Source Method Based on Sound Pressure Differential Filter for Particle Velocity Reconstruction
During the particle velocity reconstruction, the sound energy will be dissipated and the particle velocity will be underestimated, due to the attenuation characteristic of particle velocity and the interference of measurement noise. To solve the above problem, an equivalent source method based on the sound pressure differential filter (PDF-ESM) was proposed. The method uses the sound pressure differential filter to obtain the distribution information of the sound source and focus the sound energy. Meanwhile, it uses the sparse equivalent source method to solve the precise source strength and reconstruct the particle velocity. Simulation and experiment of coherent and incoherent sound sources over 200–1600 Hz show the particle velocity results computed by PDF-ESM have smaller side lobes after the sound energy is focused and smaller reconstruction errors.