Cyclostationarity-based detection

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 ... Webcyclostationarity and the coefficients, referred to as cyclic autocorrelation functions, are continuous functions of the lag parameter. Cyclostationary processes are characterized in the frequency domain by the cyclic spectra, which are the Fourier transforms of the cyclic autocorrelation functions. The cyclic spectrum at a given cycle frequency

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WebEnter the email address you signed up with and we'll email you a reset link. Webfilter and cyclostationarity based hypothe-sis test, gives better detection performance as compared to energy detection and cy-clostationary detection without FRESH filters. … shut down email account outlook https://aurinkoaodottamassa.com

Cyclostationary - an overview ScienceDirect Topics

WebCyclostationary-Signal-Processing/Detection-of-Almost-Cyclostationarity/main.m Go to file 412 lines (348 sloc) 17.6 KB Raw Blame % This is a MATLAB implementation supporting the papers % % "Detection of Almost-Cyclostationarity: An Approach Based on a Multiple % Hypothesis Test" by Stefanie Horstmann, David Ramirez and WebCyclostationarity-based cooperative spectrum sensing for cognitive radio networks. Abstract: In order to ensure trustworthy coexistence of unlicensed cognitive radio (CR) … 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 ... the oxbridge international school trinidad

Cyclic Statistic - an overview ScienceDirect Topics

Category:Cyclostationarity Detectors for Cognitive Radio: Architectural ...

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Cyclostationarity-based detection

Cyclostationary detector in ultra Wideband Impulse Radar IEEE ...

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. 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 ...

Cyclostationarity-based detection

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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 ... WebApr 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 …

WebDec 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 … 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 …

WebCommunications systems: design and analysis. Antonio Napolitano, in Cyclostationary Processes and Time Series, 2024. 9.7 Performance of cyclostationarity-based algorithms. As observed in Chapter 5 and Section 9.2, good performance of cyclostationarity-based signal processing algorithms can be achieved, provided that the data-record length T for …

WebAug 3, 2010 · First, the principle of prefix-based cyclostationarity detection will be recapped. Then, the two aforementioned scenarios will be analyzed by pinpointing their …

WebJan 1, 2016 · The concept of cyclostationarity finds a lot of practical applications like propeller noise detection in passive sonar 5. The blades of the propeller periodically beats sea water and the vibration of propeller shaft produces characteristic amplitude modulated random noise signal, which can be detected using passive sonar5,6. shut down emotionsWebOct 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 … shutdown em redeWebJan 1, 2015 · In this paper, cyclostationary detection Based spectrum sensing is considered for cognitive radio networks. We first summarize the existing first-order and … the oxcartWebJan 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 … shutdown en francaisWebsensing 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 shutdown employmentWebThis 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. shutdown end programWebFor 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. ... shutdown engineering