Investigation of multiple target location in vector miss distance measurement syatem

Ju Wang; Siliang Wu

Investigation of multiple target location in vector miss distance measurement syatem

Ju Wang^*, Siliang Wu

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

Research output: Contribution to conference › Paper › peer-review

1 Citation (Scopus)

Abstract

The location algorithm using distance difference that was got from phase difference to estimate the moving target's position. To execute vector miss distance measurement of multi-target, this paper presents combine location algorithm and data association algorithm to identify multiple target tracks, and utilizing fixed-interval Kalman smoothing filter to improve precision of miss distance. The simulation results of performance about the proposed method indicate the feasibility.

Original language	English
Pages	2013-2016
Number of pages	4
Publication status	Published - 2004
Event	2004 7th International Conference on Signal Processing Proceedings (ICSP'04) - Beijing, China Duration: 31 Aug 2004 → 4 Sept 2004

Conference

Conference	2004 7th International Conference on Signal Processing Proceedings (ICSP'04)
Country/Territory	China
City	Beijing
Period	31/08/04 → 4/09/04

Keywords

Distance Difference
Kalman smoothing filter
Location
Miss Distance

Cite this

@conference{0fc5a1dbf46c4d2390d0375c07549534,

title = "Investigation of multiple target location in vector miss distance measurement syatem",

abstract = "The location algorithm using distance difference that was got from phase difference to estimate the moving target's position. To execute vector miss distance measurement of multi-target, this paper presents combine location algorithm and data association algorithm to identify multiple target tracks, and utilizing fixed-interval Kalman smoothing filter to improve precision of miss distance. The simulation results of performance about the proposed method indicate the feasibility.",

keywords = "Distance Difference, Kalman smoothing filter, Location, Miss Distance",

author = "Ju Wang and Siliang Wu",

year = "2004",

language = "English",

pages = "2013--2016",

note = "2004 7th International Conference on Signal Processing Proceedings (ICSP'04) ; Conference date: 31-08-2004 Through 04-09-2004",

}

TY - CONF

T1 - Investigation of multiple target location in vector miss distance measurement syatem

AU - Wang, Ju

AU - Wu, Siliang

PY - 2004

Y1 - 2004

N2 - The location algorithm using distance difference that was got from phase difference to estimate the moving target's position. To execute vector miss distance measurement of multi-target, this paper presents combine location algorithm and data association algorithm to identify multiple target tracks, and utilizing fixed-interval Kalman smoothing filter to improve precision of miss distance. The simulation results of performance about the proposed method indicate the feasibility.

AB - The location algorithm using distance difference that was got from phase difference to estimate the moving target's position. To execute vector miss distance measurement of multi-target, this paper presents combine location algorithm and data association algorithm to identify multiple target tracks, and utilizing fixed-interval Kalman smoothing filter to improve precision of miss distance. The simulation results of performance about the proposed method indicate the feasibility.

KW - Distance Difference

KW - Kalman smoothing filter

KW - Location

KW - Miss Distance

UR - http://www.scopus.com/inward/record.url?scp=7644230734&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:7644230734

SP - 2013

EP - 2016

T2 - 2004 7th International Conference on Signal Processing Proceedings (ICSP'04)

Y2 - 31 August 2004 through 4 September 2004

ER -

Investigation of multiple target location in vector miss distance measurement syatem

Abstract

Conference

Keywords

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