scholarly journals Location Detection and Tracking of Moving Targets by a 2D IR-UWB Radar System

Sensors ◽  
2015 ◽  
Vol 15 (3) ◽  
pp. 6740-6762 ◽  
Author(s):  
Van-Han Nguyen ◽  
Jae-Young Pyun
Keyword(s):  
Radar System ◽  
Moving Targets ◽  
2D Ir ◽  
Detection And Tracking ◽  
Uwb Radar ◽  
Location 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.

Joint Detection and Tracking Processing Algorithm for Target Tracking in Multiple Radar System

2015 ◽  
Vol 15 (11) ◽  
pp. 6534-6541 ◽  
Author(s):  
Junkun Yan ◽  
Hongwei Liu ◽  
Bo Jiu ◽  
Zheng Liu ◽  
Zheng Bao
Keyword(s):  
Target Tracking ◽  
Radar System ◽  
Processing Algorithm ◽  
Joint Detection ◽  
Detection And Tracking ◽  
Joint Detection And Tracking

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

Review on critical technology development of avian radar system

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Weishi Chen ◽  
Yifeng Huang ◽  
Xianfeng Lu ◽  
Jie Zhang
Keyword(s):  
Technology Development ◽  
Time Integration ◽  
Radar System ◽  
Content Type ◽  
Advantages And Disadvantages ◽  
Detection And Tracking ◽  
Critical Technology ◽  
Long Time ◽  
Long Time Integration ◽  
Target Characteristics

Purpose This paper aims to review the critical technology development of avian radar system at airports. Design/methodology/approach After the origin of avian radar technology is discussed, the target characteristics of flying birds are analyzed, including the target echo amplitude, flight speed, flight height, trajectory and micro-Doppler. Four typical airport avian radar systems of Merlin, Accipiter, Robin and CAST are introduced. The performance of different modules such as antenna, target detection and tracking, target recognition and classification, analysis of bird information together determines the detection ability of avian radar. The performances and key technologies of the ubiquitous avian radar are summarized and compared with other systems, and their applications, deployment modes, as well as their advantages and disadvantages are introduced and analyzed. Findings The ubiquitous avian radar achieves the long-time integration of target echoes, which greatly improves detection and classification ability of the targets of birds or drones, even under strong background clutter at airport. In addition, based on the big data of bird situation accumulated by avian radar, the rules of bird activity around the airport can be mined to guide the bird avoidance work. Originality/value This paper presented a novel avian radar system based on ubiquitous digital radar technology. The authors’ experience has confirmed that this system can be effective for airport bird strike prevention and management. In the future, the avian radar system will see continued improvement in both software and hardware, as the system is designed to be easily extensible.

An Industrial Production Line Dynamic Target Tracking System Based on HAAR and CAMSHIFT

2020 ◽  
Vol 34 (11) ◽  
pp. 2059037
Author(s):  
Xuejun Tian ◽  
Haowen Feng ◽  
Jieyan Chen
Keyword(s):  
Target Tracking ◽  
Tracking System ◽  
Raspberry Pi ◽  
Automation System ◽  
Moving Targets ◽  
Embedded Platform ◽  
System A ◽  
Detection And Tracking ◽  
Camshift Algorithm ◽  
Dynamic Target

Aiming at the detection and tracking of moving targets in industrial automation system, a dynamic target tracking algorithm based on HAAR and CAMSHIFT is proposed. A cascade HAAR classifier is designed and trained for tracking targets. CAMSHIFT algorithm is used to track and detect moving targets quickly. The system is tested on Raspberry Pi embedded platform. The results show that the algorithm can detect the target correctly and track the target effectively.

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