无线信号辅助智能手机的室内融合定位
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摘要
针对当前WiFi指纹定位和PDR定位存在单一信号定位误差大的问题,提出一种泛在WiFi信号辅助智能手机的融合定位方法:以当前广泛使用的Android移动设备作为信号源设备,结合WiFi指纹定位和PDR定位技术各自优点,实现真实环境下的高精度室内定位。实验结果表明,融合定位方法相比单一数据源定位方法的定位精度更高、硬件部署成本更低,可以满足多数应用场景的定位需求。
Aiming at the problem that there exist large errors in single signal positioning by WiFi fingerprint or PDR currently, the paper proposed an integrated positioning method that uses smart phones assisted by ubiquitous WiFi signals: taking Android mobile device widely used nowadays as the signal source device, combined with the advantages of positioning technology of WiFi fingerprint and PDR,the high-precise indoor positioning under real environment was completed. Experimental result showed that the proposed method would have higher positioning accuracy and lower hardware deployment cost than the positioning method with single data source, which could meet the positioning requirement under normal environments.
Aiming at the problem that there exist large errors in single signal positioning by WiFi fingerprint or PDR currently, the paper proposed an integrated positioning method that uses smart phones assisted by ubiquitous WiFi signals: taking Android mobile device widely used nowadays as the signal source device, combined with the advantages of positioning technology of WiFi fingerprint and PDR,the high-precise indoor positioning under real environment was completed. Experimental result showed that the proposed method would have higher positioning accuracy and lower hardware deployment cost than the positioning method with single data source, which could meet the positioning requirement under normal environments.
引文
[1]张言哲. WiFi辅助智能手机的室内定位技术研究与实现[D].徐州:中国矿业大学, 2015.
[2]曾显彬.基于超声波与红外线的室内实时定位系统的研究与实现[D].泉州:华侨大学, 2017.
[3]刘礼明.基于RFID的仓库安防系统研究[D].南京:南京邮电大学, 2017.
[4]黄勇,鹿安.基于双天线蓝牙基站双技术的室内定位系统研究与设计[J].计量与测试技术, 2018(4):93-95.
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[6]赵强.无线传感器网络在智能楼宇中的应用技术研究[D].南京:南京航空航天大学, 2017.
[7]毕京学,汪云甲,曹鸿基,等.一种基于全向指纹库的WiFi室内定位方法[J].测绘通报, 2018(2):25-29.
[8]刘克强,褚天行,毕京学,等.一种顾及动静态的室内定位技术精度评价方法[J].测绘通报, 2017(5):17-20.
[9]周涛.基于位置指纹的ZigBee室内定位跟踪技术研究[D].徐州:中国矿业大学, 2017.
[10]樊帮正.室内移动机器人定位技术研究[D].成都:电子科技大学, 2017.
[11]王勇,陈国良,李晓园,等.一种相机标定辅助的单目视觉室内定位方法[J].测绘通报, 2018(2):35-40.
[12]陈国良,张言哲,汪云甲,等. WiFi-PDR室内组合定位的无迹卡尔曼滤波算法[J].测绘学报, 2015, 44(12):1314-1321.
[13]张言哲,陈国良,张俪文,等.卡尔曼滤波在无线信号定位中的应用[J].导航定位学报, 2014, 2(4):83-86.
[14]BAHL P, PADMANABHAN V N. RADAR:an in-building RF-based user location and tracking system[EB/OL].[2018-06-18]. https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/infocom2000.pdf.
[15]李博戈,许晓飞.智能加速度计在电子计步器中的应用[J].电子技术, 2016(7):55-57.
[16]张伟,花向红,邱卫宁,等.稳态环境下WiFi指纹点的最佳空间分辨率确定[J].测绘科学, 2018, 43(6):118-123.
[2]曾显彬.基于超声波与红外线的室内实时定位系统的研究与实现[D].泉州:华侨大学, 2017.
[3]刘礼明.基于RFID的仓库安防系统研究[D].南京:南京邮电大学, 2017.
[4]黄勇,鹿安.基于双天线蓝牙基站双技术的室内定位系统研究与设计[J].计量与测试技术, 2018(4):93-95.
[5]李富民.基于超宽带的室内服务机器人定位技术研究与应用[D].济南:山东大学, 2017.
[6]赵强.无线传感器网络在智能楼宇中的应用技术研究[D].南京:南京航空航天大学, 2017.
[7]毕京学,汪云甲,曹鸿基,等.一种基于全向指纹库的WiFi室内定位方法[J].测绘通报, 2018(2):25-29.
[8]刘克强,褚天行,毕京学,等.一种顾及动静态的室内定位技术精度评价方法[J].测绘通报, 2017(5):17-20.
[9]周涛.基于位置指纹的ZigBee室内定位跟踪技术研究[D].徐州:中国矿业大学, 2017.
[10]樊帮正.室内移动机器人定位技术研究[D].成都:电子科技大学, 2017.
[11]王勇,陈国良,李晓园,等.一种相机标定辅助的单目视觉室内定位方法[J].测绘通报, 2018(2):35-40.
[12]陈国良,张言哲,汪云甲,等. WiFi-PDR室内组合定位的无迹卡尔曼滤波算法[J].测绘学报, 2015, 44(12):1314-1321.
[13]张言哲,陈国良,张俪文,等.卡尔曼滤波在无线信号定位中的应用[J].导航定位学报, 2014, 2(4):83-86.
[14]BAHL P, PADMANABHAN V N. RADAR:an in-building RF-based user location and tracking system[EB/OL].[2018-06-18]. https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/infocom2000.pdf.
[15]李博戈,许晓飞.智能加速度计在电子计步器中的应用[J].电子技术, 2016(7):55-57.
[16]张伟,花向红,邱卫宁,等.稳态环境下WiFi指纹点的最佳空间分辨率确定[J].测绘科学, 2018, 43(6):118-123.