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.
Keywords
Waveform
Computer science
Filter (signal processing)
Hough transform
Radar
Algorithm
Signal processing
Time–frequency analysis
SIGNAL (programming language)
Space-time adaptive processing
Matched filter
Low probability of intercept radar
Gaussian
Adaptive filter
Gaussian noise
Electronic engineering
Computer vision
Continuous-wave radar
Artificial intelligence
Radar imaging
Telecommunications
Image (mathematics)
Engineering
Physics
Subject Areas
Advanced SAR Imaging Techniques
·Aerospace Engineering ·Physical Sciences
Mathematical Analysis and Transform Methods
·Applied Mathematics ·Physical Sciences
Advanced Control and Stabilization in Aerospace Systems
·Aerospace Engineering ·Physical Sciences
Citations by Year
2017: 1
2018: 1
2020: 1
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