Time-Frequency Transforms for Radar Imaging and Signal Analysis
By V. Chen, Hao Ling. 2002
893 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/9f07ea55664349d287b9ca78d54797f8ed193a3e
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- Vishal M. Patel
- Youngwook Kim
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- Taesup Moon
- Changzhi Li
- Hongwei Gao
- Zhengyu Peng
- Lianggui Xie
Citations in the corpus
- Micro-Doppler Signature Extraction from Ballistic Target with Micro-Motions (2010, methodology): “2(b), which is extracted from the baseband signal (6) without any mathematical formulas by using short-time Fourier transform (STFT) [11], and the Gaussian window with the proper length is adopted here.”
- Compressed Synthetic Aperture Radar (2010, methodology): “Differential Doppler shifts of adjacent scatters on a target are observed and the target’s reflectivity function is obtained through the Doppler frequency spectrum [5].”
- Human Detection and Activity Classification Based on Micro-Doppler Signatures Using Deep Convolutional Neural Networks (2016, methodology): “For a joint time—frequency analysis, the measured data were processed with the short-time Fourier transform [17], and their sample spectrograms are shown in Fig.”
- Polynomial Chirplet Transform With Application to Instantaneous Frequency Estimation (2011, background): “The IF concept has played important roles for the study of a wide range of signals, from radar [5], sonar [6], biomedical engineering [7], seismic investigation [8], and speech and music[9] to automotive signals [10], where the IFs are often used to characterize important physical parameters of the ”
- A Review on Recent Progress of Portable Short-Range Noncontact Microwave Radar Systems (2017, background): “Analysis of the radardetected signal in both time and frequency domains can reveal features of a movement for classification purposes [20], [21], [87], [88].”
- Micro-Doppler effect in radar: phenomenon, model, and simulation study (2006, unknown): “This is called the micro-Doppler effect [2—4].”
- Human Activity Classification Based on Micro-Doppler Signatures Using a Support Vector Machine (2009, background): “Finally, a very unique and interesting aspect of Doppler returns from humans is the appearance of “micro-Doppler” features [9], [12].”