{"id":575,"date":"2018-02-03T16:16:55","date_gmt":"2018-02-03T16:16:55","guid":{"rendered":"http:\/\/gapsc.us.es\/?page_id=575"},"modified":"2019-10-17T07:08:45","modified_gmt":"2019-10-17T07:08:45","slug":"localization-and-receiver-design-in-communication-systems","status":"publish","type":"page","link":"https:\/\/grupo.us.es\/gapsc\/localization-and-receiver-design-in-communication-systems\/","title":{"rendered":"Localization and receiver design in communication systems"},"content":{"rendered":"

Overview<\/strong><\/h2>\n

Communication systems have become an essential part of our daily life. Many devices are nowadays equipped with a GPS receiver to enable location aware services, but in indoor environments this technology fails due to severe multipath, and one needs to resort to alternative methods. The achievement of accurate, reliable and low cost indoor localization systems is still an open problem in which we are working. We are interested in several topics related to wireless indoor localization of a target node, such as the estimation of the time of arrival (TOA) of the signals exchanged between the nodes of a wireless network, or the estimation of the position of a target node from noisy range measurements.<\/p>\n

Ultra Wideband (UWB) is an emerging technology especially suited for indoor localization applications due to its ranging and obstacle penetration capabilities and its potential for low power and low cost devices. We are paying special attention to this technology, including not only research on localization techniques for UWB systems but also contributions to the design of UWB receivers for low data rate low cost sensor networks.<\/p>\n

The work on UWB is included in a wider research line on communication receiver design, where we have focused especially on synchronization. This function consists in the estimation of reference parameters indispensable for the recovery of data, such as carrier synchronization, phase or time of arrival of pulse peaks. An adequate design of the synchronization function is critical in communication systems since it consumes an important amount of the computational resources.<\/p>\n

Localization and communication are examples of situations where estimation of certain spatial fields is frequently necessary. Some cases are the received signal strength (RSS) or the non line of sight (NLOS) bias in localization, or RSS in spectrum sensing. The estimation of the spatial fields can be obtained by means of measurement campaigns, but they are expensive and need to be repeated in the common case of changes in the fields (due to changes of the environment, of interferers, etc). A promising alternative is provided by a recent trend we are investigating: crowdsourcing, which consists in exploiting the measurements collected by the wireless transceivers carried by users of the system, navigating the area where the spatial field is required. One situation where crowdsourcing is appropriate is in the presence of a large number of smartphones in public buildings, malls, etc. Another scenario that enables crowdsourcing and can greatly benefit from it is the Internet of Things (IoT). The crowdsourcing paradigm can be applied to different wireless technologies and types of measurements.<\/p>\n

Involved Members<\/strong><\/h2>\n

Juan J. Murillo Fuentes,\u00a0Eva Arias de Reyna Dom\u00ednguez, Rafael Boloix Tortosa and Irene Santos Vel\u00e1zquez.<\/p>\n

Publications<\/strong><\/h2>\n

Journals<\/strong><\/h3>\n