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Detection imaging system data acquisition and Wavelet Denoising Algorithm and Implementation

Author: WanJin
Tutor: XiongJinTao
School: University of Electronic Science and Technology
Course: Signal and Information Processing
Keywords: Millimeter Wave Passive detection imaging Wavelet denoising Data acquisition FPGA
CLC: TP274.4
Type: Master's thesis
Year: 2009
Downloads: 153
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Imaging passive millimeter wave energy radiation by detecting scene millimeter wave passive detection imaging technology , the technology can be used in battlefield reconnaissance , topography detection , anti-terrorism security and other fields . These disturbances due to the influence of the environmental noise and the receiver thermal noise will seriously affect the quality of the signal received , resulting in subsequent imaging processing of the system to bring about certain difficulties . Noise interference can cause problems as in the feature extraction, signal detection, etc. , the processing result of the deviation or error. Preliminary results of imaging target detection, recognition and classification tasks such needs further denoising , in order to increase its resolution and imaging accuracy . In recent years , with the development of increased levels of millimeter-wave devices and high - speed digital signal processing technology , millimeter wave imaging system of the passive detection important applications in many fields began realized . In this thesis, relying on specific research projects , carried out relevant research methods and hardware design and realization of data acquisition system and imaging denoising algorithm , specific work is as follows: 1 ) Summary passive detection imaging system based on the analysis illustrates the overall structure of the millimeter-wave imaging system of passive detection and basic functional unit . 2) According to the functional requirements of the project on the signal processing subsystem , the design of the overall system of the passive detection imaging data acquisition and denoising processing unit hardware implementations . 3 ) responsible for data acquisition and de-noising processing unit hardware development, \4) combined with the actual needs of the project , using integer lifting wavelet decomposition - the Bayesian wavelet coefficient threshold analysis The the - integer lifting wavelet reconstruction structure as the main flow of the image denoising processing algorithms , passive detection imaging system illuminates real-time temperature image denoising . To the development of data acquisition and image denoising processing hardware unit for the hardware platform , simulation and FPGA implementation of the above algorithm . Software simulation and hardware debugging results show that the algorithm to achieve the requirements of the project design .

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Data processing, data processing system > Centralized testing and roving detection system
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