Details

Autor(en) / Beteiligte

• Zengshan Tian
• Luyan Shao
• Mu Zhou
• Xiangyong Wang

Titel

A highly-accurate device-free passive motion detection system using cellular network

Ist Teil von

• 2016 IEEE Wireless Communications and Networking Conference, 2016, p.1-6

Ort / Verlag

IEEE

Erscheinungsjahr

2016

Quelle

IEEE/IET Electronic Library (IEL)

Beschreibungen/Notizen

• Device-free Passive (DfP) localization is an emerging technology that uses the widely deployed wireless networks to detect and localize the people and other entities in target environment. The existing DfP localization systems realize the detection and localization under the WLAN indoor environment, but the low transmission power of the Access Points (APs) restricts their application. In this paper, we propose a novel DfP motion detection system based on the cellular network with the purpose of achieving the accurate, robust, low-overhead, and long-distant motion detection capability. To overcome the poor detection performance resulted from the time-varying signal, the signal strength difference at different timestamp is adopted as the characteristic parameter of the system. We apply the non-parametric kernel density estimation technique to calculate the optimum detection threshold of each signal stream. Furthermore, a joint detection mechanism is introduced to reduce the impact of noisy readings, as well as enhance the detection performance of the system using the cellular network. The results in two typical test beds show that the proposed system can achieve high detection accuracy with false negative (FN) rate 0.8% and false positive (FP) rate 4.6%, while require significantly lower deployment overhead and be more robust to the environmental changes compared with the WLAN DfP detection system.