Dataset for Testing the Performance of the Particle Swarm Optimization based Recursive One-sided Hypothesis Testing (PSO-ROHT) algorithm

Published: 14-07-2018| Version 1 | DOI: 10.17632/tc4y8299zr.1
Contributor:
Adeiza Onumanyi

Description

This dataset is provided in order to test and validate the performance of the Particle Swarm Optimization (PSO) based Recursive One-sided Hypothesis Testing (ROHT) algorithm, termed PSO-ROHT. The dataset contains three signal sets, namely: Noise-only, FM, and OFDM signal sets. Each signal set is provided at different Signal-to-Noise (SNR) levels in order to evaluate the performance of the PSO-ROHT algorithm in both low and high SNR regimes. In addition to validating our algorithm, our dataset is provided for future validation by other researchers and also for other research purposes being conducted in the field of Cognitive Radio Network.

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