|
|||||
|
|
| 基于RSS的WSN多目标定位压缩感知算法优化 | |
| 引用本文： | 何风行,余志军,吕政,刘海涛.基于RSS的WSN多目标定位压缩感知算法优化[J].南京邮电大学学报(自然科学版),2012,32(1):24-28. |
| 作者姓名： | 何风行 余志军 吕政 刘海涛 |
| 作者单位： | 1. 中国科学院上海微系统与信息技术研究所,无线传感网络与通信重点实验室,上海200050 2. 无锡物联网产业研究院,江苏无锡214135;华东师范大学软件学院,上海200063 3. 中国科学院上海微系统与信息技术研究所,无线传感网络与通信重点实验室,上海200050;无锡物联网产业研究院,江苏无锡214135 |
| 基金项目： | 国家重点基础研究发展计划(973计划)，国家科技重大专项 |
| 摘 要： | 提出了一种将压缩感知算法应用于WSN多目标定位的系统框架,采用残差最优匹配的方法对压缩感知重构算法进行了改进,提高了定位精度,提出了根据重构结果判断定位是否成功的算法框架,该框架能更大程度的减少需要网络通信的数据量,并改变了当前的压缩感知重构算法的结果评价对稀疏度K的依赖。本算法适用于通信条件恶劣的WSN场景,仿真结果显示了本算法应用于WSN多目标定位的性能优于BP、CosAMP、GMP算法。 |
| 关 键 词： | 压缩感知 无线传感器网络 多目标定位 |
The Optimization of Compressed Sensing Algorithm for Multi-target Localization via RSS in WSN |
|
| HE Feng-hang , YU Zhi-jun , L Zheng , LIU Hai-tao.The Optimization of Compressed Sensing Algorithm for Multi-target Localization via RSS in WSN[J].Journal of Nanjing University of Posts and Telecommunications,2012,32(1):24-28. | |
| Authors: | HE Feng-hang YU Zhi-jun L Zheng LIU Hai-tao |
| Institution: | HE Feng-hang , YU Zhi-jun , L(U) Zheng , LIU Hai-tao |
| Abstract: | Target localization is one of the most challenging and important issues in wireless sensor networks(WSNs).The best residence match method is used to optimize compressed sensing algorithm and increase the precision of localization as result.The system framework of multi-target localization via compressed sensing stopping rule is proposed.The effectiveness of the optimization algorithm is to save the energy of WSN nodes by minimizing inter-node communication.As the result,the lifetime of the WSN is prolonged.Emulation results show that the localization performance is improved by the proposed algorithm. |
| Keywords: | compressed sensing wireless sensor networks multiple target localization |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |