基于稀疏随机采样技术的天线近远场快速测试算法研究

项目名称： 基于稀疏随机采样技术的天线近远场快速测试算法研究

项目编号： No.51207041

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 电气科学与工程学科

项目作者： 张量

作者单位： 合肥师范学院

项目金额： 25万元

中文摘要： 近年来稀疏随机采样理论在信号处理领域得到高度关注，其非相关测量过程突破传统的奈奎斯特采样定理，有效地降低数据的采样率。据此研发的"单相素相机"只用一个相素即可获得整个图像画面。利用该理论，拟将该理论引入到微波暗室天线近远场测试过程中，有望解决复杂电磁环境中超大数据量的采集与传输问题。在微波暗室天线测试过程中随机测试几个方位数据，即可获得整个天线全方位测试结果。前期实验证明随机测30%数据即可完全重构。本文研究的主要内容有：一、在基于稀疏随机采样的天线近远场数据获取方法研究中，通过对电磁信号的分析，建立匹配滤波体制下的回波信号稀疏表示模型；二、结合现有的稀疏信号重建算法，研究复数域中稀疏重建算法和非相关测量矩阵性能评价标准，选择适合天线近远场的重建算法与测量矩阵。三、将稀疏随机采样测试技术应用到微波暗室电磁兼容环境中，形成一种快速高效的测试实现方案。四、最终在微波暗室中验证该方案正确性。

中文关键词： 微波暗室；随机采样；天线远场；模拟信息转换；压缩感知

英文摘要： Sampling is the bridge between analog source signal and digital signal. With the rapid progress of information technologies, the demands for information are increasing dramatically. The traditional sampling of signal must obey the Shannon Sampling theorem, that is, the frequency of sampling signal must be at least twice of original signal to avoid losing the information of signal. However, further improving the Nyquist frequency will increase the complexity for data capturing, and be too difficult to achieve for hardware.So the existing systems are very difficult to meet the challenges of high speed sampling, large volume data transmission and storage. How to acquire information in signal efficiently is an urgent problem in electronic information fields.Due to the constraints of physical or technical conditions and noises,the presence of image degradation to different extents is unavoidable during the process of image formation,transmission and recordation.And therefore,based on the degraded observation,image restoration is essential,and it applies a recovery process aiming for a better precision approximation and information acquisition of the original image. The results of experiments show the validity of the algorithm.In the study of CS based data acquisition methods, we introduce Analog to Information conve

英文关键词： Anechoic Chamber；Random Sampling；Far-field；AIC；Compressive Sensing