Detection and localization of persons behind obstacles using M-sequence through-the-wall radar

This paper presents an improved clutter signal removal algorithm using Singular Value Decomposition(SVD).For indoor positioning system using IR-UWB Radar, the target signal is extracted from received signal. We use clutter signal removal algorithm using SVD for target signal extraction. Clutter signal removal algorithm using SVD has the advantage of operation but the disadvantage of high computational complexity. In this paper, we propose a method to improve computational complexity. As the experimental results, it is confirmed that the method presented in this paper improve the computational complexity of clutter removal algorithm using SVD.

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Section: Ir-uwb Radar 시스템에서 특이값 분해를 이용한 클러터 신호 제거 알고리즘의 연산속도 향상 기법unclassified

Improvement of Computational Speed for the SVD Background Clutter Signal Subtraction Algorithm in IR-UWB Radar Systems

Baek

Jung

Cho

2013

The Journal of Korea Information and Communications Society

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“…When performing imaging, the inverse phase of TRM is done computationally, using either a measured or computed Green's function G C (r, r k , ω) in Eq. (8). When precise knowledge of the forward environment is unavailable, we should model another related random wall to substitute it.…”

Section: Trm Imaging In Mismatched Environmentmentioning

confidence: 99%

“…Several papers [1][2][3][4] have reported the applications of UWB technique to TWR. And some UWB TWR systems have been built [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of TRM in the Complex Through Wall Environment

Zheng¹,

Zhao

Nie³

et al. 2009

PIER

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Abstract-Practical interests arising from behind-the-wall target detection, surveillance and reconnaissance et al. claim for high capability of imaging in complicated environments. Time Reversal Mirror (TRM) technique, making use of the principle of reciprocity, emerges as a promising way to deal with such complex problem. In this paper, we investigate TRM in the ultra-wideband (UWB) through wall radar imaging (TWRI) through numerical simulation. The probing region is a square room, with walls of rough surface and random media parameters. TRM is used to image the target settled in the room. We evaluate the degradation of the images when the aperture of the array is decreased or the received signals are contaminated by noises. The back projection (BP) algorithm is employed here as a comparison for imaging quality. For the case in which the random walls are changed between the forward and inverse phase of time reversal, we check the imaging stability and applied an averaged Green's function to improve the imaging quality. Finally, some interesting conclusions are drawn.

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“…SVD method is not adaptive for complex areas and KDE is time-consuming for real time applications [3]. In this paper, Adaptive Background Subtraction based on exponential averaging has been used [2]. This method has robust performance and low complexity and also has strong capability in complex and changeable backgrounds.…”

Section: Introductionmentioning

confidence: 99%

An Analysis of 2D Positional Accuracy of Human Bodies Detection Using the Movement of Mono-UWB Radar

Kiasari¹,

Na²,

Kim³

2014

Journal of Sensor Science and Technology

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This paper considers the ability of counting and positioning multi-targets by using a mobile UWB radar device. After a background subtraction process, distinguishing between clutters and human body signals, the position of targets will be computed using weighted Gaussian mixture methods. While computer vision offers many advantages, it has limited performance in poor visibility conditions (e.g., at night, haze, fog or smoke). UWB radar can provide a complementary technology for detecting and tracking humans, particularly in poor visibility or through-wall conditions. As we know, for 2D measurement, one method is the use of at least two receiver antennas. Another method is the use of one mobile radar receiver. This paper tried to investigate the position detection of the stationary human body using the movement of one UWB radar module.

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Detection and localization of persons behind obstacles using M-sequence through-the-wall radar

Cited by 99 publications

References 7 publications

Improvement of Computational Speed for the SVD Background Clutter Signal Subtraction Algorithm in IR-UWB Radar Systems

Improvement of Computational Speed for the SVD Background Clutter Signal Subtraction Algorithm in IR-UWB Radar Systems

Evaluation of TRM in the Complex Through Wall Environment

An Analysis of 2D Positional Accuracy of Human Bodies Detection Using the Movement of Mono-UWB Radar

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