Device free detection in impulse radio ultrawide bandwidth systems

Abbas, Waqas Bin, Che, Fuhu, Ahmed, Qasim Zeeshan, Khan, Fahd Ahmed and Alade, Temitope (2021) Device free detection in impulse radio ultrawide bandwidth systems. Sensors, 21 (9). ISSN 1424-8220

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Abstract

In this paper, an analytical framework is presented for device detection in an impulse radio (IR) ultra-wide bandwidth (UWB) system and its performance analysis is carried out. The Neyman– Pearson (NP) criteria is employed for this device-free detection. Different from the frequency-based approaches, the proposed detection method utilizes time domain concepts. The characteristic function (CF) is utilized to measure the moments of the presence and absence of the device. Furthermore, this method is easily extendable to existing device-free and device-based techniques. This method can also be applied to different pulse-based UWB systems which use different modulation schemes compared to IR-UWB. In addition, the proposed method does not require training to measure or calibrate the system operating parameters. From the simulation results, it is observed that an optimal threshold can be chosen to improve the ROC for UWB system. It is shown that the probability of false alarm, PFA, has an inverse relationship with the detection threshold and frame length. Particularly, to maintain PFA < 10−5 for a frame length of 300 ns, it is required that the threshold should be greater than 2.2. It is also shown that for a fix PFA, the probability of detection PD increases with an increase in interference-to-noise ratio (INR). Furthermore, PD approaches 1 for INR > −2 dB even for a very low PFA i.e., PFA = 1 × 10−7. It is also shown that a 2 times increase in the interference energy results in a 3 dB improvement in INR for a fixed PFA = 0.1 and PD = 0.5. Finally, the derived performance expressions are corroborated through simulation.

Item Type:	Article
Uncontrolled Keywords:	characteristic function,neyman–pearson,probability of detection,probability of false alarm,signal processing,ultrawide bandwidth systems,analytical chemistry,information systems,atomic and molecular physics, and optics,biochemistry,instrumentation,electrical and electronic engineering ,/dk/atira/pure/subjectarea/asjc/1600/1602
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Data Science and AI
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	22 Nov 2023 04:39
Last Modified:	10 Dec 2024 01:43
URI:	https://ueaeprints.uea.ac.uk/id/eprint/93714
DOI:	10.3390/s21093255

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