earticle

논문검색

An Improved Feature Extraction Algorithm of Radiation Source Based On Multiple Fractal Theory

초록

영어

Multiple fractal dimensions can be used to depict the geometry characteristic of the radiation source signals from different dimensions, thus it can be used to extract the features of different radiation source signals. In this paper, it proposes an improved feature extraction algorithm of radiation source signals based on the multiple fractal theory, it improves the solution method of traditional multiple fractal dimension which accumulated the q dimensions characteristics. Meantime, it increases the regularity and gathered degrees of the characteristics of radiation source signals, and under the condition that the basic computational complexity of algorithm is not changed. Simulation results show that, for the classification of different radiation source signals, the improved algorithm has better property and classification rate.

목차

Abstract
 1. Introduction
 2. Multiracial Theory
  2.1. Traditional Multi-fractal Dimension Algorithm
  2.2. Improved Multi-fractal Dimension Algorithm
 3. Simulation Results and Analysis
 4. Conclusion
 Acknowledgements
 References

저자정보

  • Jinfeng Pang College of Information and Communication Engineering Harbin Engineering University Harbin, China
  • Yun Lin College of Information and Communication Engineering Harbin Engineering University Harbin, China
  • Xiaochun Xu College of Information and Communication Engineering Harbin Engineering University Harbin, China

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.