J4 ›› 2014, Vol. 41 ›› Issue (4): 151-157.doi: 10.3969/j.issn.1001-2400.2014.04.026

• 研究论文 • 上一篇    下一篇

一种分段分块式压缩采样模型的设计

方标1,2;黄高明1;高俊1;左炜1   

  1. (1. 海军工程大学 电子工程学院,湖北 武汉  430033;
    2. 中国人民解放军92723部队,北京  100841)
  • 收稿日期:2013-04-19 出版日期:2014-08-20 发布日期:2014-09-25
  • 通讯作者: 方标
  • 作者简介:方标(1986-),男,海军工程大学博士研究生,E-mail:allan_fb@163.com.
  • 基金资助:

    国家863计划资助项目(2011AA7014061);国家自然科学基金资助项目(60901069)

Design of a segmented and blocked compressive sampling model

FANG Biao1,2;HUANG Gaoming1;GAO Jun1;ZUO Wei1   

  1. (1. College of Electronic Engineering, Naval Univ. of Engineering, Wuhan  430033, China;
    2. PLA Unit 92723, Beijing  100841, China)
  • Received:2013-04-19 Online:2014-08-20 Published:2014-09-25
  • Contact: FANG Biao

摘要:

在分析现有基于压缩感知的模拟信息转换器架构的基础上,对并行多支路模拟信息转换器模型进行了改进,提出了一种基于分块对角化思想的分段分块式模拟信息转换模型.该模型将等效测量矩阵转化为结构化的分块对角阵,利用各分块的相对独立性可实现存储复用,节省了硬件资源,同时减少了各支路的积分时间,能够适用于单位时间内存在大规模压缩采样值的场合.实验结果表明了此方法的有效性,与现有的分段式并行压缩采样转换器相比,其复杂度小,且具有良好的可复用性和实用性.

关键词: 压缩采样, 分块对角化, 模拟信息转换器, 分段型模拟信息转换器

Abstract:

Based on the analysis of the existing analog-to-information converter (AIC) under the framework of CS, a novel model called the segmented and blocked AIC (SB-AIC) based on block diagonalization is proposed. In this model, the measurement matrix is transformed into a structured block diagonal matrix and the block storage can be reused depending on the relative independence. Besides, the integral time of each branch can be reduced, which can be applied to mass compressive sampling per unit time. Experimental results show the effectiveness of this method, with complexity lower and practicality higher compared with the parallel AIC state of art.

Key words: compressive sensing, block diagonalization, analog-to-information converter(AIC), segmented AIC

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