Cyclostationarity-based detection

Author: owlh

August undefined, 2024

WebThis paper extends the BD method, which is based on maximizing the second-order cyclostationarity, to maximize the generalized Gaussian cyclostationarity to extract fault features from non-Gaussian signals. In addition, the generation of the weighting matrix now incorporates the estimation of fault frequencies. WebFor cyclostationarity-based detection, two architectures that exploit cyclostationarity are proposed: the Spectral Correlation Density (SCD) detector, and the Magnitude Squared Coherence (MSC) detector. The MSC detector offers improved performance compared to existing detectors, and this is demonstrated using the 802.22 RF capture database. ...

Cyclostationary detector in ultra Wideband Impulse Radar IEEE ...

Websensing based on a transmitter is widely used, which in-cludes energy detection [4, 5], matched filtering detec-tion [6], and cyclostationarity detection [7–11]. The energy detection method is also known as a power-based, non-coherent detection method. The advantages of this method are that it does not require the parameter WebDec 31, 2016 · For cyclostationarity-based detection, two architectures that exploit cyclostationarity are proposed: the Spectral Correlation Density (SCD) detector, and the Magnitude Squared Coherence (MSC ... flows to sa

The Best Sources for Learning & Teaching Cyclostationarity

WebCyclostationarity-based cooperative spectrum sensing for cognitive radio networks. Abstract: In order to ensure trustworthy coexistence of unlicensed cognitive radio (CR) … WebThe strategy network based on strategy gradient is used to optimize the template update and re detection strategy, which improves the overall tracking accuracy and efficiency of the model. Simulation experiments on an embedded device and multiple standard data sets show that compared with the current mainstream algorithms, the tracking accuracy ... WebJun 1, 2013 · The proposed multi-variate non-parametric average sample power and cyclostationarity-based quickest detection scheme is … green combat shotgun

Cyclostationary - Complete Knowledge About …

A novel adaptive resonant band detection method based on ...

WebThe simulation results shows that the cyclostationarity based detection could improve the sensing accuracy, especially in the low SNR region. The remainder of this paper is … WebCyclostationarity feature-based (C-FB) detection and classification is a large field of research that has promising applications to intelligent receiver design. … flow storyWebDec 1, 2014 · In this paper, we propose a novel spectrum sensing scheme based on the cyclostationarity approach for randomly arriving or departing signals, which is referred to as the dynamic PU signals. We first formulate the spectrum sensing problem in dynamic … flows traduction

"WebDec 30, 2014 · Cyclic Spectral Analysis Version 1.2.0.0 (763 KB) by Jerome Antoni Welch's estimate of the Cyclic Spectral Spectrum and Coherence 5.0 (16) 3.5K Downloads … " - Cyclostationarity-based detection

Cyclostationarity-based detection

Lihao (Leo) ZHANG - CUHK Faculty of Engineering - New …

WebThis article presents an overview on passive drone detection. An SDR-based, portable universal software radio peripheral (USRP) prototype is developed for detection in two scenarios. In the scenario in which a drone communicates with the ground controller, the cyclostationarity signature of the drone signal and pseudo Doppler principle are ... WebFifteen years later, in 2006, the most comprehensive survey of cyclostationarity at that time, entitled “Cyclostationarity: Half a Century of Research”, was published in the …

Did you know?

WebCyclostationarity feature-based (C-FB) detection and classification is a large field of research that has promising applications to intelligent receiver design. Cyclostationarity FB classification and detection algorithms have been applied to a breadth of wireless communication signals — analog and digital alike. This thesis reports on an ... WebJan 1, 2015 · In this paper, cyclostationary detection Based spectrum sensing is considered for cognitive radio networks. We first summarize the existing first-order and …

WebJan 11, 2024 · First-order cyclostationarity analysis provides an indication of instabilities and working conditions differentiation, but due to time-domain sampling, it is not fully robust and reliable. The highest potential is perceived in the cyclostationary approach use to extract changes between cycles. WebEnter the email address you signed up with and we'll email you a reset link.

WebOct 14, 2024 · The most important cyclostationary features used for network intrusion detection systems (NIDS) are then detected with a feature extractor algorithm, such as … Web1 day ago · Validation with cyclostationarity-based methods. Aimed at corroborating the results presented above, statistical dependence or correlation are analyzed by studying the joint cyclostationarity properties of pairs of the following time series: cosmic ray detection rate, earthquake sum magnitude, and sunspots.

WebJan 1, 2024 · In this paper, we propose an estimation based cyclostationary spectrum sensing technique in an energy harvesting cooperative cognitive radio network (EH …

WebJan 17, 2008 · The hybrid algorithm is a combination of the energy detection and the cyclostationarity-based methods. In the majority of related works, the input signal for … flow straight and fastWebApr 10, 2024 · Although stochastic resonance (SR) has been widely used to enhance weak fault signatures in machinery and has obtained remarkable achievements in engineering application, the parameter optimization of the existing SR-based methods requires the quantification indicators dependent on prior knowledge of the defects to be detected; for … greencombe gardens somersetWebThus, in such a case, cyclostationarity-based algorithms that in principle are expected to improve performance by increasing the data-record length, provide biased estimates when the data-record length is such that the ACS model is not appropriate and the GACS model should be considered (Section 12.7.2 ). View chapter Purchase book flow straightenerWebMar 24, 2024 · Here, the investigation was carried out through the cyclostationarity-based detection algorithm, whereas the outcome obtained from the cyclic autocorrelation function is applied to the signal detection. The presented algorithm yields better performance for various channel constraints. flow straightener designWebAug 3, 2010 · First, the principle of prefix-based cyclostationarity detection will be recapped. Then, the two aforementioned scenarios will be analyzed by pinpointing their … green combination colorsWebOct 27, 2011 · Abstract: In this paper, we provide a new approach in ultra Wideband (UWB) radars based on a Fourier series with time-varying coefficients resulting in a second-order cyclostationary characteristics for stationary (low-mobility) target and almost second-order cyclostationary characteristics in moving target scenario. We also provide a new method … green combat womebs winter coatsWebJun 10, 2024 · The cyclostationarity detection system model based on second-order cyclostationarity for MIMO systems is briefly introduced in Section 3. In Section 4, the proposed spectrum sensing methods for MIMO systems based on cyclostationarity and multi-antenna combining techniques are developed. green combustion