A New Method for Sorting Radar Signal Based on Entropy Features
Jun Han, Xiaofei Lu, Minghao He, Xiaojie Tang
Available Online February 2018.
- https://doi.org/10.2991/csece-18.2018.1How to use a DOI?
- component: sort; entropy feature; subspace; the Wigner distribution; bispectrum
- In order to figure out shortcomings of the existing method, such as the accuracy is not high and the method is sensitive to noise, we firstly Obtain the Wigner distribution space and bispectrum space for the received radar signal, then divide the space into subspace. Under the subspace distribution probability, the information entropy features of radar signals are constructed into two-dimensional eigenvectors, which reflects the energy distribution of the signal in these two spaces. Through the simulation results, it shows that extracted characteristic parameters have good separation and stability in the range of wide signal to noise ratio, verifying the validity of the method in this passage.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jun Han AU - Xiaofei Lu AU - Minghao He AU - Xiaojie Tang PY - 2018/02 DA - 2018/02 TI - A New Method for Sorting Radar Signal Based on Entropy Features BT - 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018) PB - Atlantis Press SP - 1 EP - 4 SN - 2352-538X UR - https://doi.org/10.2991/csece-18.2018.1 DO - https://doi.org/10.2991/csece-18.2018.1 ID - Han2018/02 ER -