scholarly journals A Novel Ultra-Wideband Double Difference Indoor Positioning Method with Additional Baseline Constraint

2021 ◽  
Vol 10 (10) ◽  
pp. 634
Author(s):  
Yinzhi Zhao ◽  
Jingui Zou ◽  
Jiming Guo ◽  
Gege Huang ◽  
Lixian Cai
Keyword(s):  
Indoor Positioning ◽  
Basic Function ◽  
Base Station ◽  
Ultra Wideband ◽  
Double Difference ◽  
Baseline Length ◽  
Reference Trajectory ◽  
Random Errors ◽  
Positioning Precision ◽  
Positioning Method

Ultra-wideband (UWB) technology is suitable for indoor positioning owing to its high resolution and penetration. However, the current UWB positioning methods not only fail to fully analyze errors, but do not have the ability to eliminate gross and large random errors. In this article, the errors of UWB indoor positioning are analyzed comprehensively, and the basic function model is given. An indoor positioning method based on a double difference UWB with ranging observations is proposed and realized. In the proposed method, two UWB rover stations and a common base station are introduced, and the known baseline length between two rovers is used as the constraint condition for quality control. The observations and coordinate estimations are constrained by the prior and posteriori, respectively, and the weight of ranging observations with large residuals is reduced. Two groups of static experiments are designed. After adopting the proposed method, the plane error of one rover is 3.4 cm and 2.1 cm, and plane error of another rover is 3.3 cm and 2.0 cm, respectively. The positioning precision is improved by more than 80% compared with the traditional method. In the dynamic experiment, the coordinates of the starting and ending point obtained by the proposed method are basically consistent with the truth value, and the positioning results are close to the reference trajectory. The experimental results show that the proposed method can eliminate systematic and large random errors and improve the positioning precision effectively.

An Improved Mono-Station UWB TOA/AOA Positioning Method

2012 ◽  
Vol 229-231 ◽  
pp. 1373-1376
Author(s):  
Xiao Dong Tu ◽  
Hao Zhang ◽  
Xue Rong Cui ◽  
Xing Liu
Keyword(s):  
Antenna Array ◽  
Pulse Amplitude ◽  
Base Station ◽  
Ultra Wideband ◽  
Localization Algorithm ◽  
Angle Of Arrival ◽  
Maximum Slope ◽  
Reference Base ◽  
Positioning Method ◽  
System Requirements

The paper proposes a mono-station TOA/AOA positioning method based on ultra-wideband (UWB) antenna array. The article calculates accurately the signal's angle of arrival (AOA) by measurement of the UWB-pulse amplitude of the reference base-station antenna array received, combined with the antenna beam pattern. With the estimation of the information of arrival time using the skewness and the maximum slope, the location of the label can be found. The ranging error of the localization algorithm can achieve centimeter-level and angle of arrival is less than or equal to 1.0.In the paper, the accuracy of positioning method is not affected, eliminating the high-precision synchronization requirements of the traditional reference base-station and significantly reducing the system requirements of clock accuracy and system complexity.

scholarly journals Application of LSTM Network to Improve Indoor Positioning Accuracy

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5824
Author(s):  
Dongqi Gao ◽  
Xiangye Zeng ◽  
Jingyi Wang ◽  
Yanmang Su
Keyword(s):  
Short Term Memory ◽  
Indoor Positioning ◽  
Base Stations ◽  
Ultra Wideband ◽  
Positioning Accuracy ◽  
Last Mile ◽  
Ranging Error ◽  
Positioning Method ◽  
Lstm Network ◽  
Positioning Algorithm

Various indoor positioning methods have been developed to solve the “last mile on Earth”. Ultra-wideband positioning technology stands out among all indoor positioning methods due to its unique communication mechanism and has a broad application prospect. Under non-line-of-sight (NLOS) conditions, the accuracy of this positioning method is greatly affected. Unlike traditional inspection and rejection of NLOS signals, all base stations are involved in positioning to improve positioning accuracy. In this paper, a Long Short-Term Memory (LSTM) network is used while maximizing the use of positioning equipment. The LSTM network is applied to process the raw Channel Impulse Response (CIR) to calculate the ranging error, and combined with the improved positioning algorithm to improve the positioning accuracy. It has been verified that the accuracy of the predicted ranging error is up to centimeter level. Using this prediction for the positioning algorithm, the average positioning accuracy improved by about 62%.

A Magnetic Based Indoor Positioning Method on Fingerprint and Confidence Evaluation

2020 ◽  
pp. 1-1
Author(s):  
Y. Zheng ◽  
Q. Li ◽  
C. Wang ◽  
X. Li ◽  
B. Yang
Keyword(s):  
Indoor Positioning ◽  
Positioning Method

Autocorrelation Phase Measurement of Spread Spectrum Signal for High Precision Indoor Microwave Positioning

2015 ◽  
Vol 734 ◽  
pp. 31-39
Author(s):  
Wen Yang Cai ◽  
Gao Yong Luo
Keyword(s):  
High Precision ◽  
Spread Spectrum ◽  
Phase Measurement ◽  
Wide Band ◽  
Cost Effective ◽  
Local Area ◽  
Indoor Positioning ◽  
60 Ghz ◽  
Positioning Method ◽  
Increasing Demand

The increasing demand for high precision indoor positioning in many public services has urged research to implement cost-effective systems for a rising number of applications. However, current systems with either short-range positioning technology based on wireless local area networks (WLAN) and ZigBee achieving meter-level accuracy, or ultra-wide band (UWB) and 60 GHz communication technology achieving high precision but with high cost required, could not meet the need of indoor wireless positioning. This paper presents a new method of high precision indoor positioning by autocorrelation phase measurement of spread spectrum signal utilizing carrier frequency lower than 1 GHz, thereby decreasing power emission and hardware cost. The phase measurement is more sensitive to the distance of microwave transmission than timing, thus achieving higher positioning accuracy. Simulation results demonstrate that the proposed positioning method can achieve high precision of less than 1 centimeter decreasing when various noise and interference added.

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