Improving Precision Based on Radar Rectification Principle of Neural Network

Ling Fang Huang

doi:10.4028/www.scientific.net/AMM.602-605.3671

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Phase Analyse of Non-Vortical and Vortical Beams in Fractional Fourier Transform System
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Broadcast Ephemeris Accuracy Analysis for GPS Based on Precise Ephemeris
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Simulation on Eliminating Interference in Long-Distance Communication
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Simulation on the Optimization Model of Noise Filtering in Long Distance Communication
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Improving Precision Based on Radar Rectification...

Improving Precision Based on Radar Rectification Principle of Neural Network

Abstract:

This dissertation introduces the radar rectification principle of Neural network, and derivation of the radar errors registration algorithm based on regression neural network algorithm , the result of simulation shows that the algorithm can obtain higher effect by eliminating a variety of errors and improving precision of target.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

3671-3675

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.3671

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Online since:

August 2014

Authors:

Ling Fang Huang*

Keywords:

Registration of Errors, Regression Neural Network

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