Abbas, WB, Che, F, Ahmed, QZ, Khan, FA and Alade, T ORCID: https://orcid.org/0000-0002-8292-7613, 2021. Device free detection in impulse radio ultrawide bandwidth systems. Sensors, 21 (9): 3255. ISSN 1424-8220
Preview |
Text
1449937_Alade.pdf - Published version Download (393kB) | Preview |
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: | Journal article |
---|---|
Publication Title: | Sensors |
Creators: | Abbas, W.B., Che, F., Ahmed, Q.Z., Khan, F.A. and Alade, T. |
Publisher: | MDPI AG |
Date: | 8 May 2021 |
Volume: | 21 |
Number: | 9 |
ISSN: | 1424-8220 |
Identifiers: | Number Type 10.3390/s21093255 DOI 1449937 Other |
Rights: | © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Divisions: | Schools > School of Science and Technology |
Record created by: | Laura Ward |
Date Added: | 06 Jul 2021 12:30 |
Last Modified: | 16 Aug 2021 09:47 |
URI: | https://irep.ntu.ac.uk/id/eprint/43347 |
Actions (login required)
Edit View |
Statistics
Views
Views per month over past year
Downloads
Downloads per month over past year