欢迎登录材料期刊网

材料期刊网

高级检索

基于频率选择表面结构,提出了一种毫米波压缩感知成像方法,为压缩感知成像的硬件实现提供了研究途径.通过在频率选择表面单元中加载开关二极管,并随机控制它们处于开/关状态,仿真设计了一种可随机切换的新型毫米波成像掩膜板.把设计的随机掩膜板放置于毫米波天线上,构造出相应的随机测量矩阵并获取足够多的有效测量次数.结合压缩感知理论,利用恢复重构算法进行成像仿真验证,结果证实了所提方法的可行性,并能在较低采样率的情况下实现对原始图像的恢复重构.

参考文献

[1] Donoho D.L..Compressed sensing[J].IEEE Transactions on Information Theory,20064(4):1289-1306.
[2] Yaakov Tsaig;David L. Donoho.Extensions of compressed sensing[J].Signal Processing,20063(3):549-571.
[3] Candes E.J.;Romberg J.;Tao T..Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information[J].IEEE Transactions on Information Theory,20062(2):489-509.
[4] Candes E. J.;Tao T..Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?[J].IEEE Transactions on Information Theory,200612(12):5406-5425.
[5] 乔蕊;张锦华.运动物体的压缩感知成像[J].量子电子学报,2015(1):17-23.
[6] Duarte M.F.;Davenport M.A.;Takhar D.;Laska J.N.;Ting Sun;Kelly K.F.;Baraniuk R.G..Single-Pixel Imaging via Compressive Sampling [Building simpler, smaller, and less-expensive digital cameras][J].IEEE Signal Processing Magazine,20082(2):83-91.
[7] 方绍正;邓静.单像素成像系统的场景监视算法[J].量子电子学报,2015(1):24-29.
[8] Tello Alonso, M. T.;Lopez-Dekker, F.;Mallorqui, J. J..A Novel Strategy for Radar Imaging Based on Compressive Sensing[J].IEEE Transactions on Geoscience and Remote Sensing,201012(12):4285-4295.
[9] Baraniuk R.G..Compressive Sensing [Lecture Notes][J].IEEE Signal Processing Magazine,20074(4):118-121.
[10] Tropp J. A.;Gilbert A. C..Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit[J].IEEE Transactions on Information Theory,200712(12):4655-4666.
上一张 下一张
上一张 下一张
计量
  • 下载量()
  • 访问量()
文章评分
  • 您的评分:
  • 1
    0%
  • 2
    0%
  • 3
    0%
  • 4
    0%
  • 5
    0%