Open AccessAn ambiguity function transformation characteristic for Radar signal sorting
Author(s) -
Jiawei Han,
Yang Hu,
Tang Tang,
Xueting Zhao,
Mingwei Li
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1738/1/012034
Subject(s) - ambiguity function , sorting , rectangle , radar , signal (programming language) , transformation (genetics) , algorithm , mathematics , sorting algorithm , sequence (biology) , function (biology) , computer science , telecommunications , geometry , chemistry , biochemistry , evolutionary biology , waveform , biology , gene , programming language
The sorting rate of current methods is not high and too sensitive to the signal noise ratio (SNR). In order to solve this problem, a novel characteristic for sorting radar emitter signal is proposed. The ambiguity function Radon curve of received signal is extracted, and then a rectangle pulse sequence and a triangle pulse sequence are constructed. Furthermore, resemblance coefficients of the ambiguity function Radon curve with two pulse sequences are extracted, and are used as the sorting parameters. The advantage of this new characteristic is validated by simulation result, and the lowest sorting rate is 90%at SNR=10dB.