dc.contributor.author |
Onumanyi, Adeiza J
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|
dc.contributor.author |
Abu-Mahfouz, Adnan MI
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|
dc.contributor.author |
Hancke, G
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|
dc.date.accessioned |
2021-07-13T17:29:39Z |
|
dc.date.available |
2021-07-13T17:29:39Z |
|
dc.date.issued |
2021-02 |
|
dc.identifier.citation |
Onumanyi, A., Abu-Mahfouz, A.M. & Hancke, G. 2021. Amplitude quantization method for autonomous threshold estimation in self-reconfigurable cognitive radio systems. <i>Physical Communication, 44.</i> http://hdl.handle.net/10204/12051 |
en_ZA |
dc.identifier.issn |
1874-4907 |
|
dc.identifier.uri |
https://doi.org/10.1016/j.phycom.2020.101256
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|
dc.identifier.uri |
http://hdl.handle.net/10204/12051
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|
dc.description.abstract |
Self-adaptive threshold adjustment algorithms (SATAs) are required to reconfigure their parameters autonomously (i.e. to achieve self-parameter adjustment) at runtime and during online use for effective signal detection in cognitive radio (CR) applications. In this regard, a CR system embedded with the functionality of a SATA is termed a self-reconfigurable CR system. However, SATAs are challenging to develop owing to a lack of methods for self-parameter adjustment. Thus, a plausible approach towards realizing a functional SATA may involve developing effective non-parametric methods, which are often pliable to achieve self-parameter adjustment since they are distribution-free methods. In this article, we introduce such a method termed the non-parametric amplitude quantization method (NPAQM) designed to improve primary user signal detection in CR without requiring its parameters to be manually fine-tuned. The NPAQM works by quantizing the amplitude of an input signal and then evaluating each quantized value based on the principle of discriminant analysis. Then, the algorithm searches for an effective threshold value that maximally separates noise from signal elements in the input signal sample. Further, we propose a new heuristic, which is an algorithm designed based on a new corollary derived from the Otsu’s algorithm towards improving the NPAQM’s performance under noise-only regimes. We applied our method to the case of the energy detector and compared the NPAQM with other autonomous methods. We show that the NPAQM provides improved performance as against known methods, particularly in terms of maintaining a low probability of false alarm under different test conditions. |
en_US |
dc.format |
Abstract |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
https://www.sciencedirect.com/science/article/abs/pii/S1874490720303335 |
en_US |
dc.source |
Physical Communication, 44 |
en_US |
dc.subject |
Self-adaptive threshold adjustment algorithms |
en_US |
dc.subject |
SATAs |
en_US |
dc.subject |
Algorithms |
en_US |
dc.subject |
Non-parametric amplitude quantization method |
en_US |
dc.subject |
NPAQM |
en_US |
dc.subject |
Cognitive radio |
en_US |
dc.subject |
Networks |
en_US |
dc.subject |
Signal detection |
en_US |
dc.title |
Amplitude quantization method for autonomous threshold estimation in self-reconfigurable cognitive radio systems |
en_US |
dc.type |
Article |
en_US |
dc.description.pages |
18 |
en_US |
dc.description.note |
© 2020 Elsevier B.V. All rights reserved. Due to copyright restrictions, the attached PDF file contains the abstract of the full-text item. For access to the full-text item, please consult the publisher's website: https://doi.org/10.1016/j.phycom.2020.101256 |
en_US |
dc.description.cluster |
Next Generation Enterprises & Institutions |
en_US |
dc.description.impactarea |
EDTRC Management |
en_US |
dc.identifier.apacitation |
Onumanyi, A., Abu-Mahfouz, A. M., & Hancke, G. (2021). Amplitude quantization method for autonomous threshold estimation in self-reconfigurable cognitive radio systems. <i>Physical Communication, 44</i>, http://hdl.handle.net/10204/12051 |
en_ZA |
dc.identifier.chicagocitation |
Onumanyi, AJ, Adnan MI Abu-Mahfouz, and G Hancke "Amplitude quantization method for autonomous threshold estimation in self-reconfigurable cognitive radio systems." <i>Physical Communication, 44</i> (2021) http://hdl.handle.net/10204/12051 |
en_ZA |
dc.identifier.vancouvercitation |
Onumanyi A, Abu-Mahfouz AM, Hancke G. Amplitude quantization method for autonomous threshold estimation in self-reconfigurable cognitive radio systems. Physical Communication, 44. 2021; http://hdl.handle.net/10204/12051. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Onumanyi, AJ
AU - Abu-Mahfouz, Adnan MI
AU - Hancke, G
AB - Self-adaptive threshold adjustment algorithms (SATAs) are required to reconfigure their parameters autonomously (i.e. to achieve self-parameter adjustment) at runtime and during online use for effective signal detection in cognitive radio (CR) applications. In this regard, a CR system embedded with the functionality of a SATA is termed a self-reconfigurable CR system. However, SATAs are challenging to develop owing to a lack of methods for self-parameter adjustment. Thus, a plausible approach towards realizing a functional SATA may involve developing effective non-parametric methods, which are often pliable to achieve self-parameter adjustment since they are distribution-free methods. In this article, we introduce such a method termed the non-parametric amplitude quantization method (NPAQM) designed to improve primary user signal detection in CR without requiring its parameters to be manually fine-tuned. The NPAQM works by quantizing the amplitude of an input signal and then evaluating each quantized value based on the principle of discriminant analysis. Then, the algorithm searches for an effective threshold value that maximally separates noise from signal elements in the input signal sample. Further, we propose a new heuristic, which is an algorithm designed based on a new corollary derived from the Otsu’s algorithm towards improving the NPAQM’s performance under noise-only regimes. We applied our method to the case of the energy detector and compared the NPAQM with other autonomous methods. We show that the NPAQM provides improved performance as against known methods, particularly in terms of maintaining a low probability of false alarm under different test conditions.
DA - 2021-02
DB - ResearchSpace
DP - CSIR
J1 - Physical Communication, 44
KW - Self-adaptive threshold adjustment algorithms
KW - SATAs
KW - Algorithms
KW - Non-parametric amplitude quantization method
KW - NPAQM
KW - Cognitive radio
KW - Networks
KW - Signal detection
LK - https://researchspace.csir.co.za
PY - 2021
SM - 1874-4907
T1 - Amplitude quantization method for autonomous threshold estimation in self-reconfigurable cognitive radio systems
TI - Amplitude quantization method for autonomous threshold estimation in self-reconfigurable cognitive radio systems
UR - http://hdl.handle.net/10204/12051
ER - |
en_ZA |
dc.identifier.worklist |
24661 |
en_US |