仅依赖连通度的压缩感知多目标定位方法

刘磊; 张建军; 陆阳; 卫星; 韩江洪

doi:10.11959/j.issn.1000-436x.2016103

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仅依赖连通度的压缩感知多目标定位方法

学术论文 | 更新时间：2024-06-05

- 仅依赖连通度的压缩感知多目标定位方法
- Multiple targets localization via compressive sensing from mere connectivity
- 通信学报 2016年37卷第5期页码：152-164
- 作者机构：
  
  1. 合肥工业大学计算机与信息学院，安徽合肥230009
  2. 教育部安全关键工业测控工程研究中心，安徽合肥 230009
- 作者简介：
  
  [ "刘磊（1982-），男，安徽合肥人，合肥工业大学博士生，主要研究方向为压缩感知和无线传感器网络定位。" ]
  [ "张建军（1963-），男，浙江宁波人，合肥工业大学教授、硕士生导师，主要研究方向为汽车电子、物联网工程、计算机集成制造。" ]
  [ "陆阳（1967-），男，安徽合肥人，合肥工业大学教授、博士生导师，主要研究方向为分布式控制、无线传感器网络、可靠性工程。" ]
  [ "卫星（1980-），男，安徽合肥人，合肥工业大学教授、硕士生导师，主要研究方向为物联网工程、离散事件动态系统等。" ]
  [ "韩江洪（1954-），男，江苏南京人，合肥工业大学教授、博士生导师，主要研究方向为计算机控制、离散事件控制理论和无线通信技术与理论等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61370088);国家国际科技合作专项基金资助项目(2014DFB10060)
- DOI：10.11959/j.issn.1000-436x.2016103
  中图分类号： TP393.1
- 网络首发：2016-05，
  
  纸质出版：2016-05-15
- 稿件说明：
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刘磊, 张建军, 陆阳, 等. 仅依赖连通度的压缩感知多目标定位方法[J]. 通信学报, 2016,37(5):152-164.

Lei LIU, Jian-jun ZHANG, Yang LU, et al. Multiple targets localization via compressive sensing from mere connectivity[J]. Journal on Communications, 2016, 37(5): 152-164.
刘磊, 张建军, 陆阳, 等. 仅依赖连通度的压缩感知多目标定位方法[J]. 通信学报, 2016,37(5):152-164. DOI： 10.11959/j.issn.1000-436x.2016103.

Lei LIU, Jian-jun ZHANG, Yang LU, et al. Multiple targets localization via compressive sensing from mere connectivity[J]. Journal on Communications, 2016, 37(5): 152-164. DOI： 10.11959/j.issn.1000-436x.2016103.

摘要

提出仅依赖连通度的多目标定位方法，将多目标定位问题转化为基于压缩感知的稀疏向量重构，解决室内参照物高密度分布的目标定位问题。定位方法仅以连通度为观测值，运用最小化l

范数法求解目标位置。当观1-测数据压缩为1 bit时，提出半正定松弛和不动点迭代法结合的目标求解算法。根据仿真实验结果，与MDS-MAP、DV-Hop和RSS-CS方法进行比较得出，仅连通度的非1-bit和1-bit量化的CS定位方法的平均定位误差小于1个网格，且2种方法占用的比特数只相当于RSS定位方法占用比特数的

和

。

Abstract

A multiple targets localization method was proposed from mere connectivity

and the multiple targets posi-tioning problem was converted to sparse vector resolving by compressive sensing theory

which was applied to the indoor localization of intensive references distribution.The connectivity to the references was collected as the only measurement data

and targets locations were figured out by minimum l

-norm algorithm.When measurement data was compress

ed tol 1 bit

the fixed point iteration algorithm combined with semi-definite relax was proposed to figure out targets locations.As for the simulation results

compared with MDS-MAP

DV-Hop and RSS-CS algorithms

the average location error is less than 1 grid by the mere connectivity of N -bit and 1-bit quantization CS localization

of which the occupied bit quan-tity are reduced to less than 4 times and 16 times of RSS localization observation value respectively.

关键词

Keywords

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