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Wavelet Based Cognitive UWB Sensors for Smart Tunnels

Wavelet Based Cognitive UWB Sensors for Smart Tunnels
用于智能隧道的基于小波的认知 UWB 传感器
批准号:
490434-2015
负责人:
Raahemifar, Kaamran
金额:
$14.57万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

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中文摘要
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英文摘要
The goal of the proposed research project is to enhance the safety of the subway tunnels as well as underground mining environment and to maintain an uninterrupted data transmission between train driver or miners and the controllers using Ultra Wide-Band (UWB) sensor network. Since UWB's wide range of frequency band causes mutual interference with other wireless services such as IEEE 802.11 a, cognitive capabilities will be developed to mitigate the interference within the UWB bandwidth and enhance the monitoring performance. Cognitive radio equipped with spectrum sensing can deal with spectrum scarcity and utilize the spectrum holes without causing harmful interference to the licensed users. Cognitive features enable the proposed UWB sensor network to detect the sources of interfering signals and avoid them in the wavelet based transmitter. Such feature enables the system to eliminate interference with various wireless services of clients in a tunnel environment; e.g. users of mobile devices, PCs and Wi-Fi can enjoy uninterrupted services while commuting in subway. Likewise, wireless communication in underground mines suffer from serious environmental noise and channel impairments. The large mining and electromechanical equipment, with high power and frequent starts, produce additive Gaussian white noise and pulse jamming leading to interference with UWB network. The proposed UWB network can sense the tunnel environment, decides and mitigates the impacts of interfering users on the data transmission. This project incorporates wavelet radio as an integrated part of the UWB sensor network. In terms of multicarrier modulation (MCM), wavelet based MCM can offer more spectrum efficiency and enhance the robustness against noise and inherent interference of conventional OFDM system. Wavelet based UWB channel modeling of tunnels can reduce the number of required coefficients of channel representation with high degree of time-frequency localization compared to the Fourier based method. Due to the complex nature of underground tunnels, cooperative spectrum sensing is proposed to alleviate the effects of shadowing and multipath fading on the UWB sensor network.
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