Abstract
In this paper, we investigated adaptive signal processing algorithms for high-resolution imaging of short range targets by 24 GHz millimeter wave (MMW) surveillance radar system. For test measurements, a step frequency continuous wave (SFCW) based Synthetic Aperture Radar (SAR) imaging system has been developed by using Anritsu MS4644A Vector Network Analyzer (VNA) and A-scan radar data were collected to demonstrate B-scan target images. We applied SAR processing and MUSIC (Multiple Signal Classification) algorithm for raw data to enhance the cross-range and range resolutions, respectively. The fusion of SAR and MUSIC algorithms is proposed to obtain improved image quality for better target identification and false alarm rate performance.
Keywords
Computer science
Extremely high frequency
Radar imaging
Synthetic aperture radar
Constant false alarm rate
Continuous-wave radar
Remote sensing
Radar
Artificial intelligence
Inverse synthetic aperture radar
SIGNAL (programming language)
Signal processing
Computer vision
Bistatic radar
Pulse-Doppler radar
Telecommunications
Geology
Subject Areas
Advanced SAR Imaging Techniques
·Aerospace Engineering ·Physical Sciences
Sparse and Compressive Sensing Techniques
·Computational Mechanics ·Physical Sciences
Radar Systems and Signal Processing
·Aerospace Engineering ·Physical Sciences
Citations by Year
2017: 1
2018: 2
2020: 2
2021: 2
2022: 1
2025: 1
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