泽尼克多项式
干扰
特征(语言学)
雷达
人工智能
欺骗
模式识别(心理学)
计算机科学
时频分析
力矩(物理)
信号(编程语言)
算法
计算机视觉
特征提取
特征向量
电信
物理
哲学
波前
光学
程序设计语言
热力学
社会心理学
经典力学
语言学
心理学
作者
Xingyu Yang,Huailin Ruan,Feng Haoran
标识
DOI:10.1109/iceiec.2017.8076561
摘要
In order to effectively deal with the major three types of deception jamming of tracking radar, a recognition algorithm is proposed based on Zernike moment feature of time-frequency distribution. In this method, firstly, smoothed pseudo Wigner-Ville (SPWD) distribution of received radar signal under jamming is given, and Zernike moments are calculated as the feature which constitute feature vector for signal recognition. Experimental results show that the proposed approach can achieve satisfying recognition. Through compared with other methods have shown that the method is superiority.
科研通智能强力驱动
Strongly Powered by AbleSci AI