Novel estimated algorithm for information fusion on MMW/IR dual-mode combined seeker

ZhiShe Cui; Tao Zeng; Teng Long

doi:10.1117/12.440304

18 September 2001 Novel estimated algorithm for information fusion on MMW/IR dual-mode combined seeker

ZhiShe Cui, Tao Zeng, Teng Long

Proceedings Volume 4556, Data Mining and Applications; (2001) https://doi.org/10.1117/12.440304
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

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.

Citation Download Citation

ZhiShe Cui, Tao Zeng, and Teng Long "Novel estimated algorithm for information fusion on MMW/IR dual-mode combined seeker", Proc. SPIE 4556, Data Mining and Applications, (18 September 2001); https://doi.org/10.1117/12.440304

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