【正文】 經(jīng)過(guò)幾個(gè)月的緊張努力 ,我的畢業(yè)設(shè)計(jì)終于順利完成了 .在這中間 ,我感覺(jué)真的學(xué)到了很多東西 ,并且 ,把以前學(xué)的不好的知識(shí)又重新鞏固了一遍 ,而且還加深了理解與認(rèn)識(shí) .在 畢設(shè)過(guò)程中 ,由于要查閱很多資料 ,還使我開(kāi)闊了眼界 ,拓展了思路 . 實(shí)踐出真知 !在畢業(yè)設(shè)踐計(jì)的實(shí)中 ,我收獲頗豐 .我能熟練地運(yùn)用protel99,office2021 等應(yīng)用軟件 .以前學(xué)習(xí)時(shí)總認(rèn)為學(xué)的都用不上 ,而且學(xué)習(xí)的時(shí)候抓不到要點(diǎn) ,通過(guò)完成畢業(yè)設(shè)計(jì)我初步明白了怎樣把所學(xué)的知識(shí)運(yùn)用到實(shí)踐中來(lái) ,終于能夠做到學(xué)以致用 . 感謝給予我親切指導(dǎo)的各位老師 ,尤其是我的畢業(yè)設(shè)計(jì)老師李智奇老師 ,是他的悉心教導(dǎo)才使我的這篇論文得以完成 !謝謝您 !李老師 !此外 ,還要特別感謝陳大兵同學(xué) ,他在軟硬件及調(diào)試方面都給了我很大的幫助 ,在此表示最 誠(chéng)摯的謝意 ! 參考文獻(xiàn) 《單片機(jī)接口技術(shù)及在工業(yè)控制中的應(yīng)用》 陜西電子編輯部 李秉操 ,張登舉 ,付壽英 ,徐飛 編著 《單片機(jī)微型機(jī)算計(jì)實(shí)用系統(tǒng)設(shè)計(jì)》 人民郵電出版社 潘新民 ,王燕芳 編著 附錄一： Data Acquisition Data Recent advances in digital signal processing algorithms and puter technology have bined to provide the ability to produce realtime systems that have capabilities far exceeding those of a few years ago. It will focus on the development of a generic processing structure that exploits the great degree of processing concept similarities existing among the radar, sonar, and medical imaging systems. A highlevel view of the above realtime systems consists of a highspeed Signal Processor to provide mainstream signal processing for detection and initial parameter estimation, a Data Manager which supports the data and information processing functionality of the system, and a Display SubSystem through which the system operator can interact with the data structures in the data manager to make the most effective use of the resources at his mand. The Signal Processor normally incorporates a few fundamental operations. For example, the sonar and radar signal processors include beamforming, “ matched” filtering, data normalization, and image processing. The first two processes are used to improve both the signaltonoise ratio (SNR) and parameter estimation capability through spatial and temporal processing techniques. Data normalization is required to map the resulting data into the dynamic range of the display devices in a manner which provides a CFAR (constant false alarm rate) capability across the analysis cells. The processing algorithms for spatial and temporal spectral analysis in realtime systems are based on conventional FFT and vector dot product operations because they are putationally cheaper and more robust than the modern nonlinear high resolution adaptive methods. However, these nonlinear algorithms trade robustness for improved array gain performance. Thus, the challenge is to develop a concept which allows an appropriate mixture of these algorithms to be implemented in practical realtime systems. The nonlinear processing schemes are adaptive and synthetic aperture beamformers that have been shown experimentally to provide improvements in array gain for signals embedded in partially correlated noise fields. Using system image outputs, target tracking, and localization results as performance criteria, the impact and merits of these techniques are contrasted with those obtained using the conventional processing schemes. The reported real data results show that the advanced processing schemes provide improvements in array gain for signals embedded in anisotropic noise fields. However, the same set of results demonstrates that these processing schemes are not adequate enough to be considered as a replacement for conventional processing. This restriction adds an additional element in our generic signal processing structure, in that the conventional and the advanced signal processing schemes should run in parallel in a realtime system in order to achieve optimum use of the advanced signal processing schemes of this study. The handbook also includes a generic concept for implementing successfully adaptive schemes with nearinstantaneous convergence in 2dimensional (2D) and 3dimensional (3D) arrays of sensors, such as planar, circular, cylindrical, and spherical arrays. It will be shown that the basic step is to minimize the number of degrees of freedom associated with the adaptation process. This step will minimize the adaptive scheme’ s convergence period and achieve nearinstantaneous convergence for integrated active and passive sonar applications. The reported results are part of a major research project, which includes the definition of a generic signal processing structure that allows the implementation of adaptive and synthetic aperture signal processing schemes in realtime radar, sonar, and medical tomography (CT, MRI, ultrasound) systems that have 2D and 3D arrays of sensors. The material in the handbook will bridge a number of related fields: detection and estimation theory。and data normalization. Emphasis will be placed on topics that have been found to be particularly useful in practice. These are several interrelated topics of interest such as the influence of medium on array gain system performance, detection and estimation theory, filter theory, spacetime processing, conventional, adaptive processing, and modelbased signal processing concepts. Moveover, the system concept similarities between sonar and ultrasound problems are identified in order to exploit the use of advanced sonar and modelbased signal processing concepts in ultrasound systems. Furthermore, issues of information postprocessing functionality supported by the Data Manager and the Display units of realtime systems of interest are addressed in the relevant chapters that discuss normalizers, target tracking, target motion analysis, image postprocessing, and volume visualization methods. The presentation of the subject matter has been influenced by the authors’ practical experiences, and it is hoped that the volume will be useful to scientists and system engineers as a textbook for a graduate course on sonar, radar, and medical imaging digital signal processing. In particular, a number of chapters summarize the state