A novel estimated algorithm for information fusion on MMW/IR dual mode combined seeker

Zhishe Cui; Tao Zeng; Teng Long

doi:10.1117/12.440304

A novel estimated algorithm for information fusion on MMW/IR dual mode combined seeker

Zhishe Cui^*, Tao Zeng, Teng Long

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

3 Citations (Scopus)

Abstract

Based on nonstationary random process with variance stationary and mean value with trend, a adaptive weighted fusion estimated algorithm is presented to fuse MMW/IR Combined seeker data in this paper. The nonstationary random process is transformed to the stationary random process by first difference, which is used for estimating measured data variance. Finally, observations are fused through the weighed fusion estimation algorithm. Simulation indicate that this algorithm is simpler, practical and its convergence speed is faster.

Original language	English
Pages (from-to)	60-64
Number of pages	5
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	4556
DOIs	https://doi.org/10.1117/12.440304
Publication status	Published - 2001
Event	Data Mining and Applications - Wuhan, China Duration: 23 Oct 2001 → 24 Oct 2001

Keywords

Data fusion
MMW/IR combined seeker
Weighted factor

Access to Document

10.1117/12.440304

Cite this

@article{146f07c2aafe4ca4b160e7337752629c,

title = "A novel estimated algorithm for information fusion on MMW/IR dual mode combined seeker",

abstract = "Based on nonstationary random process with variance stationary and mean value with trend, a adaptive weighted fusion estimated algorithm is presented to fuse MMW/IR Combined seeker data in this paper. The nonstationary random process is transformed to the stationary random process by first difference, which is used for estimating measured data variance. Finally, observations are fused through the weighed fusion estimation algorithm. Simulation indicate that this algorithm is simpler, practical and its convergence speed is faster.",

keywords = "Data fusion, MMW/IR combined seeker, Weighted factor",

author = "Zhishe Cui and Tao Zeng and Teng Long",

year = "2001",

doi = "10.1117/12.440304",

language = "English",

volume = "4556",

pages = "60--64",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

issn = "0277-786X",

publisher = "SPIE",

note = "Data Mining and Applications ; Conference date: 23-10-2001 Through 24-10-2001",

}

TY - JOUR

T1 - A novel estimated algorithm for information fusion on MMW/IR dual mode combined seeker

AU - Cui, Zhishe

AU - Zeng, Tao

AU - Long, Teng

PY - 2001

Y1 - 2001

N2 - Based on nonstationary random process with variance stationary and mean value with trend, a adaptive weighted fusion estimated algorithm is presented to fuse MMW/IR Combined seeker data in this paper. The nonstationary random process is transformed to the stationary random process by first difference, which is used for estimating measured data variance. Finally, observations are fused through the weighed fusion estimation algorithm. Simulation indicate that this algorithm is simpler, practical and its convergence speed is faster.

AB - Based on nonstationary random process with variance stationary and mean value with trend, a adaptive weighted fusion estimated algorithm is presented to fuse MMW/IR Combined seeker data in this paper. The nonstationary random process is transformed to the stationary random process by first difference, which is used for estimating measured data variance. Finally, observations are fused through the weighed fusion estimation algorithm. Simulation indicate that this algorithm is simpler, practical and its convergence speed is faster.

KW - Data fusion

KW - MMW/IR combined seeker

KW - Weighted factor

UR - http://www.scopus.com/inward/record.url?scp=0035768298&partnerID=8YFLogxK

U2 - 10.1117/12.440304

DO - 10.1117/12.440304

M3 - Conference article

AN - SCOPUS:0035768298

SN - 0277-786X

VL - 4556

SP - 60

EP - 64

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Data Mining and Applications

Y2 - 23 October 2001 through 24 October 2001

ER -

A novel estimated algorithm for information fusion on MMW/IR dual mode combined seeker

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this