Micro-Doppler effect in radar: phenomenon, model, and simulation study

By Victor C. Chen, Fayin Li, Shen-Shyang Ho, Harry Wechsler. IEEE Transactions on Aerospace and Electronic Systems, 2006

1,608 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Biomedical Engineering, Oceanography

View Paper: https://www.semanticscholar.org/paper/639dd15f47c603f3d224729bb87d3d9dd9ab39dc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Youngwook Kim
2. Taesup Moon
3. Igal Bilik
4. Shahar Villeval
5. Oren Longman
6. R. Gómez‐García
7. Tzyy-Sheng Horng
8. Joseph Tabrikian

In Biomedical Engineering

1. Youngwook Kim
2. Taesup Moon
3. Changzhi Li
4. Jenshan Lin
5. Murat Torlak
6. Murtaza Ali
7. Dan Wang
8. Sujeet Patole

Citations in the corpus

• Research Advances and Challenges of Autonomous and Connected Ground Vehicles (2019, neutral): “Pedestrian detection can be done through the micro-Doppler signature [79] and some feature extraction and matching methods [80].”
• A Review on Recent Progress of Portable Short-Range Noncontact Microwave Radar Systems (2017, background): “Especially, local mechanical vibrations or rotations of a target or part of a target may induce additional frequency modulations as a function of time, causing the micro-Doppler effect [89].”
• Analysis of radar micro-Doppler signatures from experimental helicopter and human data (2007, methodology): “smeared features and induces frequency modulation on radar returns [1-11].”
• Human Detection and Activity Classification Based on Micro-Doppler Signatures Using Deep Convolutional Neural Networks (2016, background): “To recognize and classify a target, micro-Doppler signatures produced from various non-rigid-body motions of a target can be a key feature for exploitation [3].”
• Automotive Radars: A review of signal processing techniques (2017, background): “As explained in [52], the short-time Fourier transform (STFT) of (14) gives the instantaneous variation of Doppler across time.”
• The Rise of Radar for Autonomous Vehicles: Signal processing solutions and future research directions (2019, background): “Typical automotive radar targets, such as pedestrians, cyclists, and vehicles, consist of multiple moving and rotating parts inducing micro-Doppler modulation to the radar echoes [45].”