Research on High Precision Location Algorithm of NB Terminal Based on 5G/NB-IoT Cluster Node Information Fusion

2020 ◽  
pp. 154-167
Author(s):  
Wei Ju ◽  
Di He ◽  
Xin Chen ◽  
Changqing Xu ◽  
Wenxian Yu
Keyword(s):  
High Precision ◽  
Information Fusion ◽  
Location Algorithm

Ultrasonic Positioning Using Curve-Fitting Extrapolation and Redundant Information Fusion

2011 ◽  
Vol 105-107 ◽  
pp. 1851-1855 ◽  
Author(s):  
Li Bin Lu ◽  
Ding Xin Chen ◽  
Guo Dong Jin ◽  
Rong Ming Li ◽  
Ying Jie Gao
Keyword(s):  
High Precision ◽  
Information Fusion ◽  
Curve Fitting ◽  
Measurement Errors ◽  
Redundant Information ◽  
Control Measurement

To study the problem of high precision, the reason why error appears in the ultrasonic positioning process is analyzed. To decrease the effect of error, this paper raises the algorithm of curve-fitting extrapolation and redundant information fusion. The experiment and contrast on precision between this algorithm and other classical ones demonstrate that, the new algorithm could effectively control measurement errors and raise the precision of ultrasonic positioning.

Active RFID Indoor Location System Based on RSSI Ranging Correction

2013 ◽  
Vol 677 ◽  
pp. 449-454 ◽  
Author(s):  
Qing Bin Meng ◽  
Lan Ju ◽  
Jie Jin ◽  
Wei Xiang Li
Keyword(s):  
High Precision ◽  
Environmental Parameters ◽  
Statistical Calculation ◽  
Average Deviation ◽  
Active Rfid ◽  
Indoor Location ◽  
Location System ◽  
Statistical Experiments ◽  
Location Algorithm

For indoor location, an active RFID indoor location system is designed. The system is designed and implemented by using a RSSI-based ranging technology location algorithm. In this article, the author amended the RSSI ranging equation, proposed and implemented a way to extract and estimate the environmental parameters of specific application scenarios, and improved the accuracy of the RSSI ranging. After many statistical experiments, the results show that the system’s deviation can reach 10cm on the diagonal of the region, and about 30cm on the edge. Through statistical calculation, the average deviation of system position is about 10.6cm, which is a good location system of high precision. When implemented for different applications, this system has the advantages of simplicity and adaptability.

A Combined Location Method for Mobile Robots Based on Dead Reckoning and WLAN

2014 ◽  
Vol 631-632 ◽  
pp. 649-653 ◽  
Author(s):  
Fang Jia ◽  
Kui Liu ◽  
De Cheng Xu
Keyword(s):  
Mobile Robots ◽  
Information Fusion ◽  
Low Cost ◽  
Dead Reckoning ◽  
Probability Matching ◽  
Location Method ◽  
Indoor Location ◽  
Location Algorithm ◽  
Location Methods ◽  
Received Signal Strength Indication

To minimize the deficiency of the existing indoor location methods for mobile robots, the RSSI (received signal strength indication) model of WLAN is established. Then a combined location method for mobile robots based on DR (dead reckoning) and WLAN is proposed, which employs PMLA (probability matching location algorithm) and KF (Kalman filter) for information fusion. Simulation results reveal that the combined location approach works well in eliminating the cumulative error of DR and reducing the fluctuation of WLAN location. As a result, the proposed method is capable of enhancing the positioning accuracy of mobile robots to a certain extent, promising a low-cost and reliable location scheme for its development.

Anti-Collision of Tower Crane via Ultrasonic Neural Networks

2014 ◽  
Vol 543-547 ◽  
pp. 1520-1524 ◽  
Author(s):  
Xi Ping Li ◽  
Li Chen Gu ◽  
Xue Qin Kou
Keyword(s):  
Neural Networks ◽  
Real Time ◽  
High Precision ◽  
Information Fusion ◽  
Low Cost ◽  
Security Model ◽  
Sufficient Time ◽  
Ultrasonic Sensors ◽  
Tower Crane ◽  
Simulation And Experiment

The mainstream anti-collision method was still a passive security model represented by working area limitation technology, which lacked flexibility and initiative. This paper presented a practical anti-collision method which used ultrasonic sensors to obtain the accurate profile of barriers through information fusion techniques such as Elman neural networks time fusion, SOM neural networks space fusion, etc, gave operators sufficient time to take corrective action in alarm mode before a collision occurs. It was verified via simulation and experiment that the method could use in the different tower crane flexibly, detect multiple types of barriers initiatively, determine the surface outline and position of barriers accurately, meet the requirement of tower crane safety fully. Moreover, this method had characteristics of low cost, high precision, real-time.

Sub-Pixel Image Features Location Technology

2013 ◽  
Vol 303-306 ◽  
pp. 1009-1012
Author(s):  
Guang Lin Han ◽  
Li Ping Xia
Keyword(s):  
Research Design ◽  
High Precision ◽  
Simulation Experiment ◽  
Image Features ◽  
Image Noise ◽  
Precision Positioning ◽  
Harris Corner ◽  
Pixel Location ◽  
Pixel Image ◽  
Location Algorithm

Based on image features high precision positioning measurement research. Design of a Harris corner sub-pixel location algorithm, and makes the simulation experiment. Algorithm in image noise can be realized under the condition of larger than 0.1 pixels high precision positioning.

scholarly journals Design of a high precision converter for multi-sensor information fusion

2022 ◽  
Vol 355 ◽  
pp. 02056
Author(s):  
Yajun Ma ◽  
Wei Xiong ◽  
Zhen Wang ◽  
Wenzhang Li ◽  
Jiajia Xu
Keyword(s):  
High Precision ◽  
Information Fusion ◽  
Angular Displacement ◽  
Digital Transmission ◽  
Analog Signal ◽  
Displacement Sensor ◽  
Temperature Drift ◽  
Measuring Device ◽  
Signal Amplifier ◽  
Sensor Information

The converter is a measuring device and is used together with the displacement sensor. In view of the existing sensor transform device is susceptible to error and temperature drift effects acquisition accuracy is not high, we design a high precision transducer, multi-sensor information fusion for vehicle steering gear shaft angular displacement signal measurement, signal transformation and digital transmission. The converter has the characteristics of high precision, miniaturization and low cost. Multi-sensor information fusion high-precision converter adopts front-end signal amplifier circuit, following filter processing circuit and embedded software of microprocessor for online compensation to satisfy the requirements of high-precision transformation. The microcontroller is used as the main control chip to meet the requirements of 8-channel bipolar analog signal acquisition. Two 14-bit, 6-channel A/D chips are used to convert the bipolar analog signal in the range of ±10V, and the RS422 hardware interface circuit performs digital transmission according to the time sequence specified by the central programmer. The experimental results show that the conversion accuracy of the device can reach 0.06%, the digital signal transmission is stable, and it can be widely used in industrial production.

Design and Implement of an Indoor Location System Based on Active RFID

2015 ◽  
Vol 734 ◽  
pp. 27-30 ◽  
Author(s):  
Lan Ju ◽  
Qing Bin Meng
Keyword(s):  
Low Power ◽  
High Precision ◽  
Rfid Tags ◽  
Rf Transceiver ◽  
Ultra Low Power ◽  
Rfid Tag ◽  
Active Rfid ◽  
Indoor Location ◽  
Location System ◽  
Location Algorithm

This paper presents an indoor location system. The system is comprised of a RFID reader and several low-power active RFID tags.This designed active RFID tag consists of an ultra low power micro-controller, a low power RF transceiver, micro-strip antenna and an on-board battery. The indoor location system uses a RSSI-based ranging technology location algorithm. The experimental results show that the system is a good location system of high precision. And thanks to the advantage of these low-power active RFID tags, this system can be implemented simply for different applications.

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