Detection Imaging Data Acquisition And Wavelet Denoising Algorithm Research And Implementation,

Passive millimeter-wave(PMMW)imaging is a method of forming images through the passive detection of naturally occurring millimeter-wave radiation from a scene,and has been applied widely in remote sensing,landing,navigation and security scanning, etc.Because of environmental noise and receiver thermal noise,the impact of these disturbances will seriously affect the quality of signal,image Wavelet noising will often be needed before imagery data can be used reliably for any image exploitation tasks such as target detection or idenification or classification.Recently,with the development of millimeter-wave devices and high speed signal processing technology, millimeter-wave detecting system starts to play an important role in many areas.And that the millimeter radiometer which is dealt with in this paper is an important form of the detecting systems.This paper is developed Relied on a specific research project.The work of the thesis is shown below.1)Based on the introduction of millimeter-wave radiometer technology,the overall structure and the compositon for the 3mm radiometer measurement system is given,and the calibration method for the millimeter radiometer system is presented.2)According to the project's overall signal processing systems on functional requirements,design of the imaging system and denoising of image acquisition board treatment program implementation.3)Data acquisition board is responsible for the development of a"16-channel AD +FPGA"structure achieves data acquisition,data access control,completed developing and debugging hardware job.4)Combined with the practical needs of the project,using"Integer lifting wavelet decomposition-Bayesian threshold analysis of wavelet coefficients-Integer Lifting Wavelet Reconstruction"structure as the image denoising algorithm. Software simulation and hardware debug results show that the algorithm to achieve the project design requirements.