{"status":"public","author":[{"full_name":"Abughannam, Saed","last_name":"Abughannam","id":"37628","first_name":"Saed"},{"full_name":"Scheytt, Christoph","last_name":"Scheytt","first_name":"Christoph","id":"37144"}],"date_updated":"2022-01-06T06:56:13Z","_id":"24215","language":[{"iso":"eng"}],"conference":{"start_date":"2017.09.25","end_date":"2017.09.27"},"year":"2017","page":"47","type":"conference","related_material":{"link":[{"relation":"confirmation","url":"https://www.kh2017.de/"}]},"publication":"Kleinheubacher Tagung 2017","date_created":"2021-09-13T08:20:28Z","title":" Low-Power wake up receiver based on Surface Acoustic Wave Correlator","department":[{"_id":"58"}],"citation":{"mla":"Abughannam, Saed, and Christoph Scheytt. “ Low-Power Wake up Receiver Based on Surface Acoustic Wave Correlator.” <i>Kleinheubacher Tagung 2017</i>, 2017, p. 47.","ieee":"S. Abughannam and C. Scheytt, “ Low-Power wake up receiver based on Surface Acoustic Wave Correlator,” in <i>Kleinheubacher Tagung 2017</i>, 2017, p. 47.","apa":"Abughannam, S., &#38; Scheytt, C. (2017).  Low-Power wake up receiver based on Surface Acoustic Wave Correlator. <i>Kleinheubacher Tagung 2017</i>, 47.","short":"S. Abughannam, C. Scheytt, in: Kleinheubacher Tagung 2017, Miltenberg, Germany, 2017, p. 47.","ama":"Abughannam S, Scheytt C.  Low-Power wake up receiver based on Surface Acoustic Wave Correlator. In: <i>Kleinheubacher Tagung 2017</i>. ; 2017:47.","chicago":"Abughannam, Saed, and Christoph Scheytt. “ Low-Power Wake up Receiver Based on Surface Acoustic Wave Correlator.” In <i>Kleinheubacher Tagung 2017</i>, 47. Miltenberg, Germany, 2017.","bibtex":"@inproceedings{Abughannam_Scheytt_2017, place={Miltenberg, Germany}, title={ Low-Power wake up receiver based on Surface Acoustic Wave Correlator}, booktitle={Kleinheubacher Tagung 2017}, author={Abughannam, Saed and Scheytt, Christoph}, year={2017}, pages={47} }"},"place":"Miltenberg, Germany","user_id":"15931","abstract":[{"text":"Wireless Sensor Networks (WSN) consist of large number of distributed sensors nodes which are able to sense, \r\nread and transmit physical measurements such as temperature, humidity and pressure over wireless \r\ncommunication links. WSN nodes are often powered by batteries or can use energy harvesting methods from \r\nenvironmental energy sources. One of the major challenges in the design of WSN nodes is the high level of \r\npower dissipation for sensing, processing and communication. Operating at low-power levels reduces \r\nmaintenance effort for periodic battery replacement or can even provide unlimited operation by means of energy \r\nharvesting. Since the communication process is the most power hungry process, ultra-low-power wireless \r\ncommunication is an enabler for network applications such as cyber-physical systems, Internet-of-Things and \r\nIndustry 4.0 etc. Our research is based on Wake-up Receivers (WuR) architectures. Each of the WSN nodes contains a WuR \r\nwhich is always-on, listening for a wake-up signal from other nodes or the base station, and activating the node \r\nonly when a wake-up signal is detected. By this scheme the communication with the base station becomes \r\nasynchronous, real-time and on-demand. Due to the centrally-coordinated, collision-free communication such \r\nWSNs can be scaled to very large node numbers. Designing always-on WuR at ultra-low-power dissipation \r\nlevels makes the WSN nodes very energy efficient because they are only activated when a wake-up-signal is \r\nreceived. Additionally, the WuR must be robust to noise and co-channel interference in order to operate safely \r\nin parallel to other wireless systems. We investigate a novel radio architecture for the WuR using Linear Frequency Modulation (LFM) and passive \r\nanalog signal processing by means of a Surface Acoustic Wave (SAW) correlator. The base station sends the \r\nrequired WSN node ID using LFM signal at 2.4 GHz. The node ID is encoded as chirp up or chirp down signal \r\nwith chirping bandwidth of 80MHz. On the receiver side, the SAW chirp correlator demodulates the received \r\nLFM signal while suppressing other wireless signals. In order to achieve proper demodulation and high Signal-to-Noise Ratio (SNR), the SAW correlator is designed to behave like a Matched Filter (MF) which boosts up the \r\nSNR. After that the signal is amplified/detected by baseband amplifier stage, it is compared with the unique ID \r\nof the node, and the node's Wake up signal is asserted accordingly. Since the SAW correlator operates \r\ncompletely passive, the WuR can be implemented in a very energy-efficient way, without the need to use power \r\nhungry device such as Low Noise Amplifiers (LNA) or down conversion Local Oscillators (LO)","lang":"eng"}]}