An equidistance multi-human detection algorithm based on noise level using mono-static IR-UWB radar system

2015 ◽  
pp. 131-133
Author(s):  
D Yim ◽  
S Cho
Keyword(s):  
Noise Level ◽  
Detection Algorithm ◽  
Radar System ◽  
Human Detection ◽  
Uwb Radar

scholarly journals Multi-Human Detection Algorithm Based on an Impulse Radio Ultra-Wideband Radar System

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 10300-10309 ◽  
Author(s):  
Jeong Woo Choi ◽  
Sung Sik Nam ◽  
Sung Ho Cho
Keyword(s):  
Detection Algorithm ◽  
Impulse Radio ◽  
Radar System ◽  
Human Detection ◽  
Ultra Wideband ◽  
Wideband Radar

scholarly journals IR-UWB Pulse Generation Using FPGA Scheme for through Obstacle Human Detection

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3750 ◽  
Author(s):  
Lalida Tantiparimongkol ◽  
Pattarapong Phasukkit
Keyword(s):  
Human Subjects ◽  
Obstacle Detection ◽  
Radar System ◽  
Pulse Generation ◽  
Human Detection ◽  
Ultra Wideband ◽  
Range Estimation ◽  
Clay Bricks ◽  
Uwb Radar ◽  
Wide Range

This research proposes a scheme of field programmable gate array (FPGA) to generate an impulse-radio ultra-wideband (IR-UWB) pulse. The FPGA scheme consists of three parts: digital clock manager, four-delay-paths stratagem, and edge combiner. The IR-UWB radar system is designed to detect human subjects from their respiration underneath the rubble in the aftermath of an earthquake and to locate the human subjects based on range estimation. The proposed IR-UWB radar system is experimented with human subjects lying underneath layers of stacked clay bricks in supine and prone position. The results reveal that the IR-UWB radar system achieves a pulse duration of 540 ps with a bandwidth of 2.073 GHz (fractional bandwidth of 1.797). In addition, the IR-UWB technology can detect human subjects underneath the rubble from respiration and identify the location of human subjects by range estimation. The novelty of this research lies in the use of the FPGA scheme to achieve an IR-UWB pulse with a 2.073 GHz (117 MHz–2.19 GHz) bandwidth, thereby rendering the technology suitable for a wide range of applications, in addition to through-obstacle detection.

Implementation of a Single Human Detection Algorithm for Video Digital Door Lock

2012 ◽  
Vol 19B (2) ◽  
pp. 127-134
Author(s):  
Seung-Hwan Shin ◽  
Sang-Rak Lee ◽  
Han-Go Choi
Keyword(s):  
Detection Algorithm ◽  
Human Detection ◽  
Door Lock

Fast Human Detection Algorithm Based on Subtraction Stereo for Generic Environment

2011 ◽  
Author(s):  
Alessandro Moro ◽  
Makoto Arie ◽  
Kenji Terabayashi ◽  
Kazunori Umeda ◽  
Tuan D. Pham ◽  
...  
Keyword(s):  
Detection Algorithm ◽  
Human Detection

scholarly journals A Multiple Target Positioning and Tracking System Behind Brick-Concrete Walls Using Multiple Monostatic IR-UWB Radars

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 4033 ◽  
Author(s):  
Yoo ◽  
Wang ◽  
Seol ◽  
Lee ◽  
Chung ◽  
...  
Keyword(s):  
False Alarm ◽  
False Alarm Rate ◽  
Detection Rate ◽  
Tracking System ◽  
Radar System ◽  
Ultra Wideband ◽  
Radar Signal ◽  
High Detection Rate ◽  
Concrete Walls ◽  
Uwb Radar

Recognizing and tracking the targets located behind walls through impulse radio ultra-wideband (IR-UWB) radar provides a significant advantage, as the characteristics of the IR-UWB radar signal enable it to penetrate obstacles. In this study, we design a through-wall radar system to estimate and track multiple targets behind a wall. The radar signal received through the wall experiences distortion, such as attenuation and delay, and the characteristics of the wall are estimated to compensate the distance error. In addition, unlike general cases, it is difficult to maintain a high detection rate and low false alarm rate in this through-wall radar application due to the attenuation and distortion caused by the wall. In particular, the generally used delay-and-sum algorithm is significantly affected by the motion of targets and distortion caused by the wall, rendering it difficult to obtain a good performance. Thus, we propose a novel method, which calculates the likelihood that a target exists in a certain location through a detection process. Unlike the delay-and-sum algorithm, this method does not use the radar signal directly. Simulations and experiments are conducted in different cases to show the validity of our through-wall radar system. The results obtained by using the proposed algorithm as well as delay-and-sum and trilateration are compared in terms of the detection rate, false alarm rate, and positioning error.

UWB Based Detection with Fractional Fourier Transform

2013 ◽  
Vol 679 ◽  
pp. 107-111
Author(s):  
Abdul Waheed
Keyword(s):  
Fourier Transform ◽  
Computer Aided Design ◽  
Indoor Environment ◽  
Fractional Fourier Transform ◽  
Radar System ◽  
Human Beings ◽  
Uwb Radar ◽  
Sign Detection ◽  
Aided Design ◽  
Difference Time

The importance of UWB radar system for indoor applications is of keen interest. Applications such as across the wall monitoring, through wall detection, intrusion detection and under rubble vital sign detection are of cumulative interest and are also used in modern rescue systems to help the trapped human beings, along with detection and activity monitoring across the wall. In this paper we have studied across the wall detection of presence of different objects by applying the fractional Fourier transform. Computer aided design based simulations for indoor environment are accomplished by using finite difference time domain solution for Maxwell’s equations. Finally, fractal analysis is realized for the collected signals reflected from the objects present across the wall.

Portable Imaging UWB Radar System With Two-Element Receiving Array

2007 ◽  
pp. 153-160 ◽  
Author(s):  
Anatoliy O. Boryssenko ◽  
Dmitriy L. Sostanovsky ◽  
Elen S. Boryssenko
Keyword(s):  
Radar System ◽  
Uwb Radar
Sign in / Sign up

Export Citation Format

Share Document