Target detection and classification using seismic signal processing in unattended ground sensor systems

Tian, Yuxin; Qi, Hairong; Wang, X.

doi:10.1109/icassp.2002.5745620

Cited by 50 publications

(37 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…최근 웨이블렛(Wavelet) [20,21] [24] 과 Berouti [25] 에 의한 주파수 차감법이 제안 되었으며 자 동차 실내 소음 제거방안 등에 적용되고 있다 [28] . 과정에 대한 기본 개념이다 [26] .…”

Section: 위한 가장 널리 사용되는 방법은 포락선에 대한 푸리 에변환(Fft) 방식을 취하는 것이며 일반적인 보폭기unclassified

Footstep Detection in Noisy Environment via Non-Linear Spectral Subtraction and Cross-Correlation

Kim¹,

Ko²

2014

The Journal of Korean Institute of Communications and Informati

View full text Add to dashboard Cite

Footstep detection using seismic sensors for security is a very meaningful task, but readings can easily fluctuate due to noise in outdoor environment. We propose NSSC method based on nonlinear spectral subtraction and cross-correlation using prime footstep model signal as a footstep signal refining process that enhances the signal-to-noise ratio (SNR) and attenuates noise. After de-noising, a detection event classification method is presented as further refining process to ensure that the detection result is a footstep. To validate the proposed algorithm, representative experiments including sunny and rainy-day cases are demonstrated.

show abstract

Section: 위한 가장 널리 사용되는 방법은 포락선에 대한 푸리 에변환(Fft) 방식을 취하는 것이며 일반적인 보폭기unclassified

Footstep Detection in Noisy Environment via Non-Linear Spectral Subtraction and Cross-Correlation

Kim¹,

Ko²

2014

The Journal of Korean Institute of Communications and Informati

View full text Add to dashboard Cite

show abstract

“…4 and 5 provide the results of fusion based on the improved method and the method mentioned in [7]. Only sensors that have higher weighted values are fused using equation (1). It shows that the novel method provides higher energy of the footsteps as compared to the other method.…”

Section: Applicationmentioning

confidence: 99%

“…Whereas, surface waves propagate near the surface of the earth. Research related to seismic waves indicates that a significant amount of seismic energy is dispersed near the surface if any kind of disturbance occurs near the surface of the earth and this energy is transmitted as the surface wave [1]. 70% of the total energy of the target is distributed as such Rayleigh surface waves and the remaining energy is propagated into the interior of the earth as body waves [2] detect a target that makes impacts on the surface of the earth.…”

Section: Introductionmentioning

confidence: 99%

A Correlation Based Sensor Fusion Method for Multi-Channel Seismic Network

Zubair¹,

Hartmann²,

Loffeld³

2012

IJCEE

View full text Add to dashboard Cite

Abstract-In this paper, an improved method of sensor-level fusion for a multi-channel seismic network is presented for target detection in outdoor security applications. This method determines the weighted values of each sensor present in the seismic network based on the correlation measures and as the change of correlation is observed, the weighted values are adjusted accordingly for real-time data. This method takes full advantage of the limited range of seismic sensors especially in the outdoor environments since the sensors that reflect the state of target have greater weighted values than other sensors in a network. Furthermore, this method is also helpful to identify a failure state or bad data of the sensors. The effectiveness of this method is verified by simulation results. In the end, the application of this method is presented and the fusion results are discussed on real data.

show abstract

“…George Succi는 첨도를 이용하여 사람 발자국을 탐 지하는 알고리즘을 개발하였으며 이 방법은 많은 연구 에서 비교대상으로 사용되었다 [2] . Yuxin Tian은 신호 의 통계치, 신호모양, 피크위치 등 총 30개의 특징을 추출하여 차량을 식별하는 SSWCC(Spectral Statistics and Wavelet Coefficients Characterization)라는 알고리즘 을 개발하였다 [10] . Kenneth M. Houston은 시간영역에서 변화량을 탐지하던 기존연구의 한계를 극복하기 위해 스펙트럼 분석을 통해 걸음걸이 주파수를 추출하여 사 …”

Section: 다 진동센서를 적용한 무인지상센서(Ugs)unclassified

An Efficient Intruder Detection using the Seismic Sensor

Kim¹,

Chung²

2011

Journal of the Korea Institute of Military Science and Technolo

View full text Add to dashboard Cite

This paper reports on a design of the footstep signal detection system using the seismic sensor. First, we analyzed the characteristics of seismic signal, seismic sensor, and the UGS(Unattended Ground Sensor) system with seismic sensors. In addition, we summarized the existing algorithms to detect footstep using the seismic sensors, and developed our low-power and high efficient footstep detection algorithm. In this paper, the sensor node operations are classified into three different steps and different resources and algorithms are applied to each step, not only to minimize the power consumption, but also to improve the performance.

show abstract

Target detection and classification using seismic signal processing in unattended ground sensor systems

Cited by 50 publications

References 3 publications

Footstep Detection in Noisy Environment via Non-Linear Spectral Subtraction and Cross-Correlation

Footstep Detection in Noisy Environment via Non-Linear Spectral Subtraction and Cross-Correlation

A Correlation Based Sensor Fusion Method for Multi-Channel Seismic Network

An Efficient Intruder Detection using the Seismic Sensor

Contact Info

Product

Resources

About