A Blind Signal Separation Algorithm for Energy Detection of Dynamic PU Signals

03/20/2020
by   Jakub Nikonowicz, et al.
0

Energy detection process for enabling opportunistic spectrum access in dynamic primary user (PU) scenarios, where PU changes state from active to inactive at random time instances, requires estimation of several parameters ranging from noise variance and signal-to-noise ratio (SNR) to instantaneous and average PU activity. A prerequisite to parameter estimation is an accurate extraction of the signal and noise samples in a received signal time frame. In this letter, we propose a low-complexity and accurate signal separation algorithm as compared to well-known methods, which is also blind to the PU activity distribution. The proposed algorithm is analyzed in a semi-experimental simulation setup for its accuracy and time complexity in recognizing signal and noise samples, and its use in channel occupancy estimation, under varying occupancy and SNR of the PU signal. The results confirm its suitability for acquiring the necessary information on the dynamic behavior of PU, which is otherwise assumed to be known in the literature.

READ FULL TEXT
research
01/12/2021

Blind Modulation Classification via Combined Machine Learning and Signal Feature Extraction

In this study, an algorithm to blind and automatic modulation classifica...
research
02/19/2012

Generalized FMD Detection for Spectrum Sensing Under Low Signal-to-Noise Ratio

Spectrum sensing is a fundamental problem in cognitive radio. We propose...
research
07/14/2021

The Period-Modulated Harmonic Locked Loop (PM-HLL): A low-effort algorithm for rapid time-domain periodicity estimation

Many speech and music analysis and processing schemes rely on an estimat...
research
01/06/2018

An Intelligent Future Mobile Terminal Architecture

In this paper, a novel Extended Cognitive Mobile Terminal (ExCogNet-MT) ...
research
09/30/2021

Blind Coherent Preamble Detection via Neural Networks

In wireless communications systems, the user equipment (UE) transmits a ...
research
08/31/2023

DECODE: DilatEd COnvolutional neural network for Detecting Extreme-mass-ratio inspirals

The detection of Extreme Mass Ratio Inspirals (EMRIs) is intricate due t...
research
09/19/2020

Fast and Asymptotically Powerful Detection for Filamentary Objects in Digital Images

Given an inhomogeneous chain embedded in a noisy image, we consider the ...

Please sign up or login with your details

Forgot password? Click here to reset