1. 东南大学 仪器科学与工程学院,江苏 南京 210096
2. 中国电子科技集团公司第五十四研究所,河北 石家庄 050081
3. 卫星导航系统与装备技术国家重点实验室,河北 石家庄 050081
[ "张 衡(1988—),男,工程师,E-mail:[email protected]; " ]
[ "蔚保国(1966—),男,研究员,E-mail:[email protected]" ]
潘树国(1981—),男,教授,E-mail:[email protected]
纸质出版日期:2024-4-20,
网络出版日期:2024-1-12,
收稿日期:2023-2-4,
扫 描 看 全 文
张衡, 蔚保国, 潘树国. 一种信标辅助的北斗伪卫星CPD定位方法[J]. 西安电子科技大学学报, 2024,51(2):107-115.
Heng ZHANG, Baoguo YU, Shuguo PAN. Beacon-aided CPD indoor positioning method for the BeiDou pseudo-satellite[J]. Journal of Xidian University, 2024,51(2):107-115.
张衡, 蔚保国, 潘树国. 一种信标辅助的北斗伪卫星CPD定位方法[J]. 西安电子科技大学学报, 2024,51(2):107-115. DOI: 10.19665/j.issn1001-2400.20230409.
Heng ZHANG, Baoguo YU, Shuguo PAN. Beacon-aided CPD indoor positioning method for the BeiDou pseudo-satellite[J]. Journal of Xidian University, 2024,51(2):107-115. DOI: 10.19665/j.issn1001-2400.20230409.
针对北斗伪卫星信号引入室内并在小尺度空间下提供高精度定位的难题
如何在顾及网络建设成本的基础上提升小尺度空间的定位时效性和定位精度是未来室内定位技术中需要解决的重要一环。此处充分结合室内环境下小尺度空间的空间特征
提出一种室内节点信标辅助的北斗伪卫星载波相位差定位方法。该方法首先将传统的大范围指纹构建问题转化为指纹节点的方式
在指纹图谱的基础上提出室内节点信标的概念
通过信标节点实现小尺度空间与周围空间的连接
并对以载噪比和载波相位为基础的信标特征谱构建与处理进行了分析;然后以室内节点信标为基础给出了基于载波相位差的位置估计过程
最后结合粒子群寻优算法提出一种顾及行人特征的位置与速度空间约束下的位置搜索算法。在真实环境下的试验结果表明
通过室内节点信标的辅助在室内环境可以实现动态定位精度优于30 cm、暂停态下的定位精度优于25 cm的定位效果。正常步速运动下算法与惯性导航定位精度相当
同时相比于惯性导航方式具有更宽松的运动姿态条件。在小尺度空间下算法具有更优的适用性。
In order to solve the problem of high-precision positioning of the BeiDou pseudo-satellite signal in indoor small-scale space
how to save the cost of network construction on the basis of small-scale space to improve the timeliness and positioning accuracy of indoor positioning technology is an important link in the future.In this paper
a method of BeiDou pseudo-satellite carrier phase difference(CPD) localization assisted by indoor node beacons is proposed
which fully combines the characteristics of small-scale space in indoor environment.First
the problem of large-scale fingerprint construction is transformed into a fingerprint beacon
and the concept of indoor node beacon is proposed.The connection between small-scale space and surrounding space is realized by beacon nodes
and the construction and processing of the beacon characteristic spectrum based on the carrier-to-noise ratio(CN0) and carrier phase are analyzed.Then
based on the indoor node beacon
the process of position estimation based on CPD is presented.Finally
a location search algorithm considering the constraints of pedestrian location and velocity space is proposed based on particle swarm optimization(PSO).Experimental results in real environment show that the dynamic positioning accuracy of 30cm and the positioning accuracy of 25cm in a suspended state can be achieved by the indoor node beacon.Compared with inertial navigation
it has a more relaxed attitude condition and is suitable for high-precision positioning processing in small-scale space.The proposed algorithm has a better applicability in small-scale space.
北斗伪卫星小尺度空间载波相位室内节点信标高精度定位
BeiDou pseudo-satellitesmall-scale spacecarrier phaseindoor node beaconhigh-precision positioning
AHMED A U, ARABLOUEI R, HOOG F D, et al. Multi-Radio Data Fusion for Indoor Localization Using Bluetooth and WiFi[C]//International Conference on Pervasive and Embedded Computing and Communication Systems. Vienna:PECCS, 2019:13-24.
REN J, HUANG S, SONG W, et al. A Novel Indoor Positioning Algorithm for Wireless Sensor Network Based on Received Signal Strength Indicator Filtering and Improved Taylor Series Expansion[J]. Traitement du Signal, 2019,36,103-108.
SHARP I, YU K. Indoor WiFi Positioning,in Wireless Positioning:Principles and Practice[M]. Heidelberg:Springer, 2019:219-240.
YANG C, SHAO H R. WiFi-Based Indoor Positioning[J]. IEEE Communications Magazine, 2015,53:150-157.
VAZHENIN N A, VEITSEL A V, VEITSEL V V, et al. Position Determination of a Mobile Station Using Modified Wi-Fi Signals[S]. Mountain View: Google Patents, 2019.
WANG B, LIU X, YU B G, et al. An Improved WiFi Positioning Method Based on Fingerprint Clustering and Signal Weighted Euclidean Distance[J]. Sensors, 2019,19:2300.
LIU Y, TAO Z, LI X. High Efficiency WiFi Fingerprint Localization Based on Distance Costraints[C]//Proceedings of the ACM Turing Celebration Conference-China. New York: ACM, 2019:1-5.
ZHOU M, DOLGOV M, LIU Y, et al. WIFI/PDR Indoor Integrated Positioning System in a Multi-Floor Environment[J]. EAI Endorsed Transactions on Cognitive Communications, 2018, 4(14):155075.
GUO G, CHEN R, YE F, et al. Indoor Smartphone Localization:A Hybrid WiFi RTT-RSS Ranging Approach[J]. IEEE Access, 2019,7:176767-176781.
FUJII K, SAKAMOTO Y, WANG W, et al. Hyperbolic Positioning with Antenna Arrays and Multi-Channel Pseudolite for Indoor Localization[J]. Sensors, 2015,15:25157-25175.
黄璐, 蔚保国, 李宏生, 等. GNSS拒止环境下的伪卫星指纹定位方法[J]. 电子学报, 2022, 40(4):811-822.
HUANG Lu, YU Baoguo, LI Hongsheng, et al. Pseudo-Satellite Fingerprint Localization Method in GNSS Rejection Environment[J]. Journal of Electronics, 2022, 40(4):811-822.
HUANG L, GAN X, YU B, et al. B.An Innovative Fingerprint Location Algorithm for Indoor Positioning Based on Array Pseudolite[J]. Sensors, 2019,19:4420.
ZHUANG H, PAN S. LSOS:An FG Position Method Based on Group Phase Ranging Ambiguity Estimation of BeiDou Pseudolite[J]. Remote Sensing. 2023, 15(7):1924.
王建, 张献州. 改进粒子群算法的GPS单历元模糊度搜索[J]. 测绘科学, 2013, 38(6):157-159.
WANG Jian, ZHANG Xianzhou. GPS Single Epoch Ambiguity Search Based on Improved Particle Swarm Optimization Algorithm[J]. Science of Surveying and Mapping, 2013, 38(6):157-159.
翟彦蓉, 黄欢, 张申, 等. 改进粒子群优化算法在TDOA定位中的应用[J]. 传感器与微系统, 2013, 32(4):145-148.
ZHAI Yanrong, HUANG Huan, ZHANG Shen, et al. Application of Improved Particle Swarm Optimization in TDOA Location[J]. Sensors and Microsystems, 2013, 32(4):145-148.
0
浏览量
0
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构