Search
Search
Bluetooth蓝牙技术
Home
News
Advertisement
submit product
Group Advertisements
Submit group ads
Sales and Distribution
Advertisement
modelling design
Distributor
Yak Milk
Tongue Imager
Bluetooth Mic
Bluetooth Audio
China NEV
Popular Science
Videos
Market Research
automotive parts
Procurement Companies
Events
Create Event
Bluetooth Event
Media contacts
Brand Products
Withings Steel HR
AI Tongue Imager
Gallery
buffet
Instrument and Eqipment
Technical News
monograph
Add monograph
Collection
Examination Package
Training
UWB
Pinpoint Location
Forum
Forum
Daily Life
English Academic Journals
Chip
Chip manufactures
Chips
Liability Insurance
Project
Projects Collection
Contests
Open Source
China Tours
shop
Shop User Panel
Check out
Cart
Orders
History Orders
Products
SparkLink
Contest
Events
Profile
Connections
Downloads
Manual
rafavi_download
Download
Jdownload_FK
Contact
Rent
Reservation
Car Sale
Car sale Input
Car Gallery
Warranty Certificate
Property Insurance
navbar-toggle
Download
Email
PDF
Print
Download
TITLE
Research on UWB indoor positioning in combination with TDOA improved algorithm and Kalman filtering
id
85
ALIAS
research-on-uwb-indoor-positioning-in-combination-with-tdoa-improved-algorithm-and-kalman-filtering
DESCRIPTION
With the presentation of ″Internet+″ and continuous development of Internet of Things technology,the scenes to locate the staff and goods are increasing. At the same time,the demands of emerging fields(such as security monitoring,aero⁃space,unmanned industrialization operation,seas exploration,digital tourism)for indoor positioning are growing. To satisfy dif⁃ferent requirements,various positioning technologies were developed by the academia and industry,but they have great dif⁃ferences in the aspects of positioning applicability,positioning accuracy,etc. In comparison with other positioning methods,the UWB(ultra wideband)positioning technology has the unique advantages in positioning accuracy,real⁃time performance and data scalability. In this paper,the algorithm based on TDOA(time difference of arrival) was improved to reduce the difficulty of clock synchronization,and in combination with Kalman filtering,the error interference in transmission process was eliminated.The method can make the indoor positioning more accurately.
Description
FILE PIC
unknown.png
Images
PRICE
RELEASE
FILE LANGUAGE
2
SYSTEM
0
LICENSE
0
URL LICENSE
LICENSE AGREE
0
SIZE
1.48 MB
CREATED
2023-11-25
FILE DATE
PUBLISH UP
2023-11-25
PUBLISH DOWN
USE TIMEFRAME
0
url
联合TDOA改进算法和卡尔曼滤波的UWB室内定位研究_张桀.pdf
PREVIEW FILENAME
OTHER FILE ID
0
MD5 VALUE
98917086598174132181b89ad9d5b7ba
SHA1 VALUE
dbe456c482ef4e23687084e1d547a62f4edc09b3
EXTERN FILE
EXTERN SITE
0
MIRROR 1
MIRROR 2
EXTERN SITE MIRROR 1
0
EXTERN SITE MIRROR 2
0
URL HOME
AUTHOR
URL AUTHOR
CREATED BY
679
CREATED MAIL
MODIFIED BY
679
MODIFIED
2023-11-25
SUBMITTED BY
0
SET AUP POINTS
0
DOWNLOADS
118
CATID
24
NOTES
CHANGELOG
PASSWORD
PASSWORD MD5
Views
99
METAKEY
TDOA, Kalman filtering, UWB, indoor positioning
METADESC
Research on UWB indoor positioning in combination with TDOA improved algorithm and Kalman filtering
ROBOTS
UPDATE ACTIVE
0
ACCESS
1
USER ACCESS
0
LANGUAGE
*
ORDERING
13
Featured
0
Published
1
CHECKED OUT
0
CHECKED OUT TIME
ASSET ID
2354
Go back
back-to-top