The Feature Description Method of Radar Signal Based on Improved Kernel Density Estimation

Abstract:

According to the problem that the existing radar signal feature cannot effectively express and analysis its characteristic, a description method of radar emitter signal feature based on improved kernel density estimation is proposed. This improved kernel density estimation algorithm combine the selection of fixed window and variable window's width to achieve the window's width automatic adjustment value between the different estimation points based on the sample distribution. Then the probability density curve using kernel density estimation algorithm as radar emitter signal parameters characteristics stored into database.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 3501-3504
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.3501
• Online since: August 2013
• Authors: Fei Ye, Jie Zhou, Jun Luo, Xing Rong Gao
• Keywords: Feature Description, Kernel Density Estimation, Radar Signal

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