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Journal ArticleDOI

A Portable Real-Time Digital Noise Radar System for Through-the-Wall Imaging

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TLDR
A portable, digital, real-time random noise radar system operating in the ultrahigh frequency range for through-the-wall detection and imaging and its capability to image target scenes and characterize human activity from different stand-off distances is demonstrated.
Abstract
We present the design and implementation of a portable, digital, real-time random noise radar system operating in the ultrahigh frequency range for through-the-wall detection and imaging. Noise radar technology is combined with modern digital signal processing approaches to architect a system to covertly perform range imaging of obscured stationary and moving targets as well as to detect the presence of humans via micro-Doppler detection combined with empirical mode decomposition. We model the propagation and sampling nonidealities in the system and propose techniques to overcome the effect of these nonidealities. Experimental results demonstrate the system's capability to image target scenes and characterize human activity from different stand-off distances.

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Citations
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Journal ArticleDOI

Classification of human motions using empirical mode decomposition of human micro-Doppler signatures

TL;DR: In this article, the authors used the empirical mode decomposition to produce a unique feature vector from the human micro-Doppler signals following which a support vector machine was used to classify human motions.
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Bi-LSTM Network for Multimodal Continuous Human Activity Recognition and Fall Detection

TL;DR: A novel hybrid fusion scheme is proposed to combine soft and hard fusion to push the classification performances to approximately 96% accuracy in identifying continuous activities and fall events.
Journal ArticleDOI

Review of micro-Doppler signatures

TL;DR: In this paper, the authors present a review of micro-Doppler based on subject type, sensor capabilities, as well as environmental effects, and then propose future research areas for micro doppler.
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Continuous Human Motion Recognition With a Dynamic Range-Doppler Trajectory Method Based on FMCW Radar

TL;DR: A novel dynamic range-Doppler trajectory (DRDT) method based on the frequency-modulated continuous-wave (FMCW) radar system is proposed to recognize continuous human motions with various conditions emulating real-living environment and achieves accurate and robust recognition even in various conditions of distance, view angle, direction, and individual diversity.
Journal ArticleDOI

Developments in target micro-Doppler signatures analysis: radar imaging, ultrasound and through-the-wall radar

TL;DR: The article shows that this research area is highly active and fast moving and demonstrates that micro-Doppler techniques can provide important solutions to many radar target classification challenges.
References
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Journal ArticleDOI

SAR Imaging with Noise Radar

TL;DR: Experimental results obtained show that the quality of the imagery is comparable to that of frequency-modulation continuous-wave (FMCW) or stepped frequency radar systems, and confidence in the ability of noise waveform SAR to achieve high-resolution imaging at low cost is provided.
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Hilbert-Huang transform analysis of human activities using through-wall noise and noise-like radar

TL;DR: A non-stationary Doppler model is developed to describe various aspects of human motion, which compares well with measured data and facilitates the identification and recognition of various human activities.
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Use of a Frequency-Hopping Radar for Imaging and Motion Detection Through Walls

TL;DR: A small frequency-agile radar has been developed and configured into different systems for performing imaging of static and dynamic targets through common building materials, showing its ability to detect stationary individuals concealed behind concrete walls at significant ranges.
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Through-Wall Imaging of Moving Targets Using UWB Random Noise Radar

TL;DR: In this article, a through-wall ultrawideband (UWB) random noise radar using array antennas, subtraction of successive frames of the cross-correlation signals between each received element signal and the transmitted signal is able to isolate moving targets in heavy clutter.
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Through-the-Wall Detection of Stationary Human Targets Using Doppler Radar

TL;DR: This work proposes a technique to detect and characterize activity associated with a stationary human in through-the-wall scenarios using a Doppler radar system, using bio-mechanical human arm movement models and the empirical mode decomposition (EMD) algorithm for doppler feature extraction.
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