التفاصيل البيبلوغرافية
| العنوان: |
Testbed Implementation of a Scalable ARIMA Model for Spectrum Estimation in Cognitive Radio-A Null Hypothesis Approach. |
| المؤلفون: |
Chakraborty, Debashis, Sanyal, Salil Kumar |
| المصدر: |
IETE Journal of Research; Jul2023, Vol. 69 Issue 7, p4165-4183, 19p |
| مصطلحات موضوعية: |
NULL hypothesis, COGNITIVE radio, ANALYSIS of variance, GOODNESS-of-fit tests, MODEL validation, BOX-Jenkins forecasting |
| مستخلص: |
A two-stage data-driven Spectrum Estimation (SE) technique has been introduced for a Cognitive Radio (CR) system involving Null-Hypothesis approach using robust Chi-Square Goodness of Fit (GoF) for confirmation of the desired signal. Development of optimized scalable ARIMA model concerning data length, lag order and AIC-BIC for frugal SE with minimum response time has been the main contribution. The implementation of the model and subsequent validation have been performed in WARP testbed with an optimized data length of only 250 in ARIMA (3,1,2) model. A response time of 6.25 μ S provides an improvement in peak PSD from existing −40 dB to +45 dB. [ABSTRACT FROM AUTHOR] |
|
Copyright of IETE Journal of Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Complementary Index |
PDF full text from Publisher 
Full Text Finder