Developments in target micro-doppler signatures analysis: radar imaging, ultrasound and through-the-wall radar [PDF]
Target motions, other than the main bulk translation of the target, induce Doppler modulations around the main Doppler shift that form what is commonly called a target micro-Doppler signature.
Soraghan, J. J. +5 more
core +5 more sources
Micro-Doppler Parameters Extraction of Precession Cone-Shaped Targets Based on Rotating Antenna
Micro-Doppler is regarded as a unique signature of a target with micro-motions. The sophisticated recognition of the cone-shaped targets can be realized through the micro-Doppler effect.
Zhihao Wang +4 more
doaj +1 more source
The study investigated object detection and classification based on both Doppler radar spectrograms and vision images using two deep convolutional neural networks.
Jnana Sai Abhishek Varma Gokaraju +3 more
doaj +1 more source
Realistic Simulation of Drone Micro-Doppler Signatures
This paper presents a novel approach to simulating micro-Doppler signatures caused by drones. The focus of this work is to produce realistic signatures that represent the variation that is observed in live radar measurements. In order to accomplish this, the kinematics and dynamics of a drone flight are modelled to capture the changing rotor rotation ...
Bennett, Cameron +2 more
openaire +1 more source
Dual-Scale Doppler Attention for Human Identification
This paper considers a Deep Convolutional Neural Network (DCNN) with an attention mechanism referred to as Dual-Scale Doppler Attention (DSDA) for human identification given a micro-Doppler (MD) signature induced as input.
Sunjae Yoon +4 more
doaj +1 more source
Micro-Doppler signature analysis for target classification
El efecto micro-Dopppler es el fenómeno observado en las señales radar de retorno de un objeto formado por partes móviles. Este efecto es representado por las firmas micro-Doppler, las cuales contienen abundante información sobre el objeto irradiado con radar.
Machuca Meoño, Diego Nicolás
openaire +2 more sources
Using SVM Classifier and Micro-Doppler Signature for Automatic Recognition of Sonar Targets [PDF]
In this paper, we propose using a propeller modulation on the transmitted signal (called sonar micro- Doppler) and different support vector machine (SVM) kernels for automatic recognition of moving sonar targets.
Abbas Saffari +2 more
doaj +1 more source
Attention‐enhanced Alexnet for improved radar micro‐Doppler signature classification
This work introduces an attention mechanism that can be integrated into any standard convolution neural network to improve model sensitivity and prediction accuracy with minimal computational overhead.
Shelly Vishwakarma +5 more
doaj +1 more source
A Multi-Rotor Drone Micro-Motion Parameter Estimation Method Based on CVMD and SVD
It is of great significance to detect drones in airspace due to the substantial increase and regrettable misuse in the consumer market. In this paper, we establish a micro-motion theoretical model of a drone and analyze the micro-Doppler signature of ...
Degui Yang +4 more
doaj +1 more source
AI-Based Automated Instrument Tracking During Endoscopic Skull Base Surgery: A Pilot Feasibility Study. [PDF]
ABSTRACT Background Endoscopic endonasal approaches (EEA) to skull base tumors are a technically challenging procedure for both surgeons and trainees. Artificial intelligence and computer vision (CV) may offer an objective analysis that provides surgical assessment on technique and enhanced educational feedback for surgeons of all levels.
Grimm DR +14 more
europepmc +2 more sources

