Elliptic Gaussian filtering for Time-Frequency signal analysis

T. O. Gulum, A. Erdogan, L. Durak-Ata, T. Yıldırım, P. E. Pace
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引用次数: 3

Abstract

Increased use of low probability of intercept (LPI) waveforms in current radar systems, enforces the use of sophisticated hardware and signal processing algorithms in intercept receiver technology. In this study, an adaptive filtering technique based on elliptic Gaussian filter is proposed to be used by intercept receivers. The filter is implemented on Wigner-Ville Distribution (WVD) images of different intercepted LPI radar waveforms to de-noise the image in order to help the Electronic Support operators in the signal analysis effort. The slope of the LFM waveforms, thus the filter's, can be determined by using Hough Transform, Radon Transform or any other method.
椭圆高斯滤波时频信号分析
在当前的雷达系统中,越来越多地使用低截获概率(LPI)波形,迫使在拦截接收机技术中使用复杂的硬件和信号处理算法。本文提出了一种基于椭圆高斯滤波器的自适应滤波技术。该滤波器对截获的不同LPI雷达波形的Wigner-Ville分布(WVD)图像进行去噪,以帮助电子支援操作员进行信号分析。LFM波形的斜率,即滤波器的斜率,可以通过霍夫变换、拉东变换或任何其他方法来确定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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