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Research On Regional Environment Noise Measurement System Based On Compressive Sensing Theory

Posted on:2019-06-21Degree:MasterType:Thesis
Country:ChinaCandidate:W M WangFull Text:PDF
GTID:2322330542463866Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of the industrialization process,urban environmental noise pollution is increasingly strengthened,seriously affecting people's daily life and physical mental health.The regional environment noise has many characteristics,such as sound source a lot and wide distribution,and the characteristics of the complex sound,so that the measurement analysis system has the problems of large amount of data collected,slow operation and insufficient useful information and so on.It has become a problem about how to measure such noise effectively,and the development of compression-aware information processing technology has provided theoretical and technical support for solving such problems.Based on this,this paper proposes a compression measurement method on the noise of the perceptual noise field,and forms a random demodulation and compression sampling technique,and builds a compression sensing measurement system.This paper is the research content of the National Natural Science Foundation of China(61401245,61671262).The main contents and innovations of the paper are as follows:(1)Proposed a compression perception of sound field measurement method.Based on the sparseness characteristics of acoustic signals,the weak field reconstruction of the sound field is carried out in the time domain and the spatial domain.A method of generating the main component redundancy dictionary is proposed,and its key influencing factors and evaluation parameters are studied to optimize the sound field sparse base And the optimal sparse base form is determined,and the sparse reconstruction of the sound field is realized effectively.(2)Formed a random demodulation compression sampling technology.Based on the sparse reconstruction of the sound field,the greedy iterative algorithm and the random demodulation technique are used to convert the collected sparse sound information from the analog variable into the electrical signal,and the numerical calculation program is programmed to realize the conversion of the sound field sparse to the actual hardware measurement and solve the question of connection between the software program and the hardware device.(3)Based on the compression perception of the noise field measurement system.Combined with the noise data acquisition and analysis of MEMS microphone and the data processing and control of STM32F407 single chip microcomputer,the control window interface and key parameter input mode are designed to optimize the matching precision of software program and hardware device,and realize the construction of measurement system.(4)The performance evaluation experiment of the measurement system was carried out.The effectiveness and practicability of the compression sensing system are evaluated from three aspects.
Keywords/Search Tags:MEMS microphone, noise measurement system, sparse base, observation matrix, recovery algorit
PDF Full Text Request
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