{"title":"Sound Source Acquisition and Location System Based on DSP and FPGA","authors":"Hesong Huang, Shunting Fu, Xiaopeng Zhao, Jiahao Wang, Yongli Zhu","doi":"10.12783/DTMSE/AMEME2020/35591","DOIUrl":null,"url":null,"abstract":"According to the requirements of audio signal acquisition and conversion, sound source location in complex environment, a sound source collention and positioning system which based on DSP and FPGA is designed. The system adopts low noise MEMS microphone sensor to form microphone array, DSP chip as the core controller, beam forming algorithm as the core algorithm of the system. Through the application of high precision ADC chip to carry out synchronous sampling and conversion of 64 channels of audio signals, simultaneously, the use of low-cost, high-speed FPGA chip to achieve batch data acquisition and caching. The real-time data upload is realized by fast Ethernet controller to ensure the non-blocking transmission of large traffic data. Through the laboratory test, the analysis and verification of the experimental data, the system works stably and meets the design requirements.","PeriodicalId":11124,"journal":{"name":"DEStech Transactions on Materials Science and Engineering","volume":"32 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"DEStech Transactions on Materials Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12783/DTMSE/AMEME2020/35591","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
According to the requirements of audio signal acquisition and conversion, sound source location in complex environment, a sound source collention and positioning system which based on DSP and FPGA is designed. The system adopts low noise MEMS microphone sensor to form microphone array, DSP chip as the core controller, beam forming algorithm as the core algorithm of the system. Through the application of high precision ADC chip to carry out synchronous sampling and conversion of 64 channels of audio signals, simultaneously, the use of low-cost, high-speed FPGA chip to achieve batch data acquisition and caching. The real-time data upload is realized by fast Ethernet controller to ensure the non-blocking transmission of large traffic data. Through the laboratory test, the analysis and verification of the experimental data, the system works stably and meets the design requirements.