The Radar Signal Feature-Separability Model Analysis

Abstract:

The one-dimensional feature-separability model concerning the feature-separability issue of radar emitter signals is proposed based on the probability theory and statistical theory, to evaluate the deinterleaving and recognition capability of extracted features. The proposed method is applied to analyze convention features of radar emitter signals. The theoretical analysis and experimental results show that the proposed model offers a new way to analyze the validity of extracted features, and is valid in both the original feature space and linear-transformed feature space.

• Periodical: Advanced Materials Research (Volumes 268-270)
• Pages: 1484-1487
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.268-270.1484
• Online since: July 2011
• Authors: Zhi Bin Yu, Chun Xia Chen
• Keywords: Feature Evaluation, Feature-Separability, Radar Emitter Signal

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