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Research of Multisensor for long Range Target Tracking Accuracy(PDF)

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
1999年03期
Page:
53-56
Research Field:
Publishing date:

Info

Title:
Research of Multisensor for long Range Target Tracking Accuracy
Author(s):
YangChunling SunHongbo NiJinlin ① LiuGuosui
School of Electronic Engineering and Optoelectronic Technology,NUST,Nanjing 210094)
Keywords:
data fusion Kalman filtering target t racking distributed est imat ion algorithm
PACS:
TP274
DOI:
-
Abstract:
This paper mainly discusses the mult isensor for a long-range target t racking in nonlinear systems. The Distributed Converted Measurement Kalman Filtering Algorithm (CMKFA) is proposed and the state evaluat ion equat ions in fusion center are deduced on the condit ion that sensors are f ixed at different posit ion. Then it is analyzed that the sensors-target g eomet ry has a great influence on the tracking accuracy. From the theoret ical analysis and the simulation results, it can be proved that deposit ing sensors rationally in nonlinear systems can raise the target tracking accuracy. A method for deposit ing the sensors rat ionally is g iven on 2- dimensional plane.

References:

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Memo

Memo:
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Last Update: 2013-03-29