基于阴影衰落的大尺度无线透射层析成像仪

项目名称： 基于阴影衰落的大尺度无线透射层析成像仪

项目编号： No.61227001

项目类型： 专项基金项目

立项/批准年度： 2013

项目学科： 无线电电子学、电信技术

项目作者： 安建平

作者单位： 北京理工大学

项目金额： 290万元

中文摘要： 针对大尺度空间范围内无损快速人体探测和跟踪难以克服障碍物影响的问题，通过分析典型场景下无线电波的阴影衰落特性，设计和研制一种基于阴影衰落的无线透射层析成像仪，填补国内在该领域的一项空白。深入研究多径环境下场景物体对无线层析成像算法的影响，设计具有精确多径估计能力的无线电波形，建立基于分数阶傅里叶变换的多径伪像修正模型；研究基于压缩感知理论的大带宽信号降维处理算法；研究基于正则化的无线层析成像方程求解算法和基于最大后验概率和马尔可夫场模型的超分辨图像重建方法；设计基于GPU并行处理架构的无线通信、扫描、层析成像一体化系统样机，突破强多径干扰下快速高精度成像等关键技术，完成大型网络无线层析成像的工程验证。本项目将为我国大尺度空间下人体探测与跟踪系统的发展提供理论和技术支持，解决区域监控领域中的成像瓶颈问题。

中文关键词： 无线层析成像；多径干扰；分数阶傅里叶变换；超分辨图像重建；目标定位与跟踪

英文摘要： It is difficult to overcome the obstacle influence for nondestructive fast human detection and tracking in large scale space.By analysis of shadow fading characteristics of radio wave in typical scenes, we design and develop a radio tomographic imaging instrument based on the shadow fading in wireless transmission. We will take a deep study of multipath effects on the radio tomography algorithm and design a certain kind of radio wave with a precisive estimation of multipath effects, and build a pseudo image corrective model based on Fractional Fourier Transform. Then we will study large bandwidth signal processing algorithm by descending dimension with compressed sensing theory. We will do some researches on regularization methods of radio tomographic imaging equation and super resolution image reconstruction method based on Maximum A Posteriori and Markov Random Fields. We will design an integration system prototype with communication, scanning and imaging by Graphic Processing Unit. By our researches, we will solve the key technologies for quick imaging with high resolution in multipath environments and do engineering validation test. Our project will give theoretical and technique supports for human sensing and tracking in large scale space, and solve bottleneck problems in imaging for regional monitoring.

英文关键词： Radio Tomographic Imaging；Multipath Interference；Fractional Fourier Transform；Super Resolution Reconstruction；Target Localization and Tracking