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
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
shop
Shop User Panel
Check out
Cart
Orders
History Orders
Products
SparkLink
Contest
Events
Profile
Connections
Downloads
Manual
rafavi_download
Download
Jdownload_FK
Contact
Car Sale
Car sale Input
Car Gallery
Warranty Certificate
Property Insurance
navbar-toggle
Download
Email
PDF
Print
Download
TITLE
TDOA Positioning Method Based on Adaptive Kalman Filter
id
103
ALIAS
tdoa-positioning-method-based-on-adaptive-kalman-filter
DESCRIPTION
UWB ( Ultra Wide Band) technology is a new indoor positioning technology which has been widely studied for its low power consumption, high positioning accuracy and strong penetration ability. In this paper, based on the TDOA ( time difference of arrival) measurement method, UWB tags are used to send signals to multiple base stations to obtain the time stamp difference between tags and each base station, and the movement position of the tag is solved in real time by the Chan algorithm. The “current” statistical model is established, the iterative process of Kalman filtering is improved by setting the threshold, and them the improved adaptive Kalman filter algorithm is used to eliminate the influence of non line of sight error and noise on TDOA location so that the indoor positioning accuracy of TDOA is more accurate. Experiments show that the TDOA positioning method based on adaptive Kalman filter has high accuracy.
Description
FILE PIC
unknown.png
Images
PRICE
RELEASE
FILE LANGUAGE
2
SYSTEM
0
LICENSE
0
URL LICENSE
LICENSE AGREE
0
SIZE
1.49 MB
CREATED
2023-11-25
FILE DATE
PUBLISH UP
2023-11-25
PUBLISH DOWN
USE TIMEFRAME
0
url
基于自适应卡尔曼滤波的_TDOA_定位方法.pdf
PREVIEW FILENAME
OTHER FILE ID
0
MD5 VALUE
6bfd5e805b64f1a1132b7ea6e841b40e
SHA1 VALUE
face1cfd9c62f79096d2fae62b7463f57072b6f0
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
72
CATID
24
NOTES
CHANGELOG
PASSWORD
PASSWORD MD5
Views
72
METAKEY
time difference of arrival, TDOA, non-line of sight error, current statistics, Kalman filter, threshold
METADESC
TDOA Positioning Method Based on Adaptive Kalman Filter
ROBOTS
UPDATE ACTIVE
0
ACCESS
1
USER ACCESS
0
LANGUAGE
*
ORDERING
31
Featured
0
Published
1
CHECKED OUT
0
CHECKED OUT TIME
ASSET ID
2372
Go back
back-to-top