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基于LANDMARC与压缩感知的双段式室内定位算法

李丽娜 马俊 龙跃 徐攀峰

李丽娜, 马俊, 龙跃, 徐攀峰. 基于LANDMARC与压缩感知的双段式室内定位算法[J]. 电子与信息学报, 2016, 38(7): 1631-1637. doi: 10.11999/JEIT151050
引用本文: 李丽娜, 马俊, 龙跃, 徐攀峰. 基于LANDMARC与压缩感知的双段式室内定位算法[J]. 电子与信息学报, 2016, 38(7): 1631-1637. doi: 10.11999/JEIT151050
LI Lina, MA Jun, LONG Yue, XU Panfeng. Double Stage Indoor Localization Algorithm Based on LANDMARC and Compressive Sensing[J]. Journal of Electronics and Information Technology, 2016, 38(7): 1631-1637. doi: 10.11999/JEIT151050
Citation: LI Lina, MA Jun, LONG Yue, XU Panfeng. Double Stage Indoor Localization Algorithm Based on LANDMARC and Compressive Sensing[J]. Journal of Electronics and Information Technology, 2016, 38(7): 1631-1637. doi: 10.11999/JEIT151050

基于LANDMARC与压缩感知的双段式室内定位算法

doi: 10.11999/JEIT151050
基金项目: 

国家自然科学基金(61403176),辽宁省教育厅科学技术研究项目(L2013003)

Double Stage Indoor Localization Algorithm Based on LANDMARC and Compressive Sensing

Funds: 

The National Natural Science Foundation of China (61403176), Science and Technology Research Project of Educational Commission of Liaoning Province of China (L2013003)

  • 摘要: 鉴于已有室内定位算法定位精度与运算效率之间的矛盾,该文提出一种将LANDMARC区域定位与基于模拟退火优化正则化正交匹配追踪(SROMP)的压缩感知位置估计相结合的双段式定位算法(LANDMARC- SROMP CS)。首先,利用LANDMARC定位算法快速锁定目标所在区域范围;在锁定的区域内,再引入压缩感知理论实现目标位置估计。此部分,首先根据锁定区域范围建立虚拟参考标签;然后由新型组合核函数相关向量机算法训练得到室内传播损耗模型,计算获得虚拟标签处接收信号强度值,构建测量矩阵;最后利用SROMP压缩感知重构算法求解出目标的位置索引矩阵,对索引矩阵中的位置相关点加权平均得到目标的位置信息。实验结果表明,所提定位算法平均定位误差为0.6445 m,算法运算效率相对较高,可以较好地满足室内定位的要求。
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出版历程
  • 收稿日期:  2015-09-17
  • 修回日期:  2016-03-07
  • 刊出日期:  2016-07-19

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