Indoor Position Detection Algorithm Based on Multiple Magnetic Field Map Matching and Importance Weighting Method

2019 ◽  
Vol 68 (3) ◽  
pp. 471-479
Author(s):  
Yong Hun Kim ◽  
Eung Ju Kim ◽  
Min Jun Choi ◽  
Jin Woo Song
Keyword(s):  
Magnetic Field ◽  
Detection Algorithm ◽  
Map Matching ◽  
Weighting Method ◽  
Importance Weighting ◽  
Position Detection

Combined Back-EMF Estimator with High-Frequency Signal Injection for Wide Speed Range Sensorless Control of PMLSM

2013 ◽  
Vol 753-755 ◽  
pp. 1405-1408
Author(s):  
Hua Cai Lu ◽  
Xuan Yu Yao ◽  
Juan Ti
Keyword(s):  
High Frequency ◽  
High Speed ◽  
Sensorless Control ◽  
Estimation Method ◽  
Detection Algorithm ◽  
Estimation Accuracy ◽  
High Frequency Signal ◽  
Weighting Method ◽  
Transition Speed ◽  
Signal Injection

This paper describes a composite sensorless position and speed detection algorithm designed for permanent magnet linear synchronous motor (PMLSM). A high-frequency voltage signal injection method is used at starting and low speed, and a back-EMF integrate method is used at high speed, and the two kinds of method are fused by weighting method in the transition speed area. Simulation results show that estimation accuracy of this composite estimation method is satisfactory, and the sensorless control system based on this method has good dynamic response characteristics within full speed.

scholarly journals Magnetic-Map-Matching-Aided Pedestrian Navigation Using Outlier Mitigation Based on Multiple Sensors and Roughness Weighting

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4782 ◽  
Author(s):  
Yong Hun Kim ◽  
Min Jun Choi ◽  
Eung Ju Kim ◽  
Jin Woo Song
Keyword(s):  
Magnetic Field ◽  
Importance Sampling ◽  
Dead Reckoning ◽  
Position Error ◽  
Magnetic Sensors ◽  
Map Matching ◽  
Multiple Sensors ◽  
Pedestrian Navigation ◽  
Zero Velocity ◽  
Pedestrian Dead Reckoning

This research proposes an algorithm that improves the position accuracy of indoor pedestrian dead reckoning, by compensating the position error with a magnetic field map-matching technique, using multiple magnetic sensors and an outlier mitigation technique based on roughness weighting factors. Since pedestrian dead reckoning using a zero velocity update (ZUPT) does not use position measurements but zero velocity measurements in a stance phase, the position error cannot be compensated, which results in the divergence of the position error. Therefore, more accurate pedestrian dead reckoning is achievable when the position measurements are used for position error compensation. Unfortunately, the position information cannot be easily obtained for indoor navigation, unlike in outdoor navigation cases. In this paper, we propose a method to determine the position based on the magnetic field map matching by using the importance sampling method and multiple magnetic sensors. The proposed method does not simply integrate multiple sensors but uses the normalization and roughness weighting method for outlier mitigation. To implement the indoor pedestrian navigation algorithm more accurately than in existing indoor pedestrian navigation, a 15th-order error model and an importance-sampling extended Kalman filter was utilized to correct the error of the map-matching-aided pedestrian dead reckoning (MAPDR). To verify the performance of the proposed indoor MAPDR algorithm, many experiments were conducted and compared with conventional pedestrian dead reckoning. The experimental results show that the proposed magnetic field MAPDR algorithm provides clear performance improvement in all indoor environments.

Algorithm for the Detection of Feeble Edge of Complex Image

2012 ◽  
Vol 487 ◽  
pp. 915-919
Author(s):  
Xi Yun Wang
Keyword(s):  
Edge Detection ◽  
Ant Colony Algorithm ◽  
Detection Algorithm ◽  
Information Value ◽  
Ant Colony ◽  
Position Detection ◽  
Canny Edge ◽  
Key Steps ◽  
Improved Ant Colony Algorithm ◽  
Weak Edge

Image weak edge detection has a wide application. An improved ant colony algorithm is used for image edge detection . When image background is very complex ,the weak edge detection is more difficult. Around the key steps in the existing ant colony algorithm , we propose two improved methods. First, the expression of pheromone has been improved, and second, to improve the heuristic information value is calculated. Finally, the improved ant colony algorithm with the traditional Canny edge detection algorithm are compared.The improved edge detection experiments show that the new algorithm is position detection accurate, continuity, and the advantages of less interference.

scholarly journals Bankline detection of GF-3 SAR images based on shearlet

2021 ◽  
Vol 7 ◽  
pp. e611
Author(s):  
Zengguo Sun ◽  
Guodong Zhao ◽  
Marcin Woźniak ◽  
Rafał Scherer ◽  
Robertas Damaševičius
Keyword(s):  
Water Environment ◽  
Detection Algorithm ◽  
Morphological Processing ◽  
Map Matching ◽  
Sar Image ◽  
Sar Images ◽  
Multi Scale ◽  
Local Means ◽  
Active Imaging ◽  
Non Local

The GF-3 satellite is China’s first self-developed active imaging C-band multi-polarization synthetic aperture radar (SAR) satellite with complete intellectual property rights, which is widely used in various fields. Among them, the detection and recognition of banklines of GF-3 SAR image has very important application value for map matching, ship navigation, water environment monitoring and other fields. However, due to the coherent imaging mechanism, the GF-3 SAR image has obvious speckle, which affects the interpretation of the image seriously. Based on the excellent multi-scale, directionality and the optimal sparsity of the shearlet, a bankline detection algorithm based on shearlet is proposed. Firstly, we use non-local means filter to preprocess GF-3 SAR image, so as to reduce the interference of speckle on bankline detection. Secondly, shearlet is used to detect the bankline of the image. Finally, morphological processing is used to refine the bankline and further eliminate the false bankline caused by the speckle, so as to obtain the ideal bankline detection results. Experimental results show that the proposed method can effectively overcome the interference of speckle, and can detect the bankline information of GF-3 SAR image completely and smoothly.

scholarly journals A novel weighting method for satellite magnetic data and a new global magnetic field model

2010 ◽  
Vol 181 (1) ◽  
pp. 250-260 ◽  
Author(s):  
Alan W. P. Thomson ◽  
Brian Hamilton ◽  
Susan Macmillan ◽  
Sarah J. Reay
Keyword(s):  
Magnetic Field ◽  
Field Model ◽  
Magnetic Data ◽  
Weighting Method ◽  
Magnetic Field Model ◽  
Global Magnetic Field

scholarly journals Research on Position Detection Algorithm of Switched Reluctance Motor Based on FPGA

2018 ◽  
Vol 173 ◽  
pp. 02036
Author(s):  
Xu Gang
Keyword(s):  
High Speed ◽  
Implementation Process ◽  
Detection Algorithm ◽  
Experimental Simulation ◽  
Logic Device ◽  
Program Module ◽  
Switched Reluctance ◽  
Position Detection ◽  
Reluctance Motor ◽  
Location Detection

In this paper, the Cyclone series programmable logic device (FPGA) is used to implement the location detection algorithm. The implementation process requires that the storage space be occupied as small as possible, fast, and less occupied by CPU resources. High speed A/D is used for signal detection conversion. Pipeline optimization technology is adopted to improve working speed. Program module and top layer file is compiled. Experimental simulation verifies the effectiveness and real time of the algorithm.

FPGA Implementation for CCD Driving and Laser Spot Position Detection

2014 ◽  
Vol 496-500 ◽  
pp. 1587-1590
Author(s):  
Quan Liu ◽  
Xu Yang ◽  
Yi Ning Mu
Keyword(s):  
Simulation Analysis ◽  
Block Diagram ◽  
Field Tests ◽  
Detection Algorithm ◽  
Image Sensor ◽  
Laser Spot ◽  
Alignment Error ◽  
Imaging Device ◽  
Position Detection ◽  
Ccd Sensor

CCD sensor can be used as the imaging device in the initial aiming processing for the beacon laser, and can also be used as the detecting device for the communication lasers optical axis alignment error of the targeting captured trace (APT) unit in space laser communication system. In this paper, based on a double-FPGA structure, we proposed technical solutions to realize the imaging CCD sensor driving and the laser spot position detection algorithm for the CX285AL image sensor by using the overall design of the system block diagram. The spot position detection wave door track centroid algorithm for CCD sensor is also studied by using the analysis of laser transmission characteristics of the atmospheric turbulence. The simulation analysis and field tests have been verified the feasibility of this approach.

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