Cyclostationarity-based detection

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August undefined, 2024

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. 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 ...

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WebNov 25, 2006 · A cyclostationarity-based classifier is proposed, which does not require estimation of carrier phase and frequency offset, signal and noise powers, and timing recovery as preprocessing tasks.... 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 … fishy body odor disease

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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 … WebJun 14, 2024 · Over the past several decades, cyclostationarity has been regarded as one of the most significant theories in the research of non-stationary signal processing; therefore, it has been widely used to solve a large variety of scientific problems, such as weak signal detection, parameter estimation, pattern recognition, and mechanical signature analysis. … WebNov 4, 2024 · Cyclostationarity (1): (noun) Statistical cyclicity (defined below) of numerical time-series data (discrete- or continuous-time). The time-series property of having temporal statistics, such as Fraction-of … candy store glass jars

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Performance comparison of energy, matched-filter and cyclostationarity ...

WebFeb 26, 2024 · The cyclostationarity based CI (Sect. 3.2) has been explored for detecting gear fault. The gearbox is subjected to fluctuating profile of speed which has been imitated as the working conditions of wind turbines [ 16, 17 ]. The chapter is organized as follows. The state-of-art literature review about cyclostationarity is presented in Sect. 2. fishy body odor causesWebThus, 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 fishy body odour

"WebCyclostationarity-based cooperative spectrum sensing for cognitive radio networks. Abstract: In order to ensure trustworthy coexistence of unlicensed cognitive radio (CR) … " - Cyclostationarity-based detection

Cyclostationarity-based detection

Cyclostationarity Detectors for Cognitive Radio: Architectural ...

WebA cyclostationary process is a signal having statistical properties that vary cyclically with time. A cyclostationary process can be viewed as multiple interleaved stationary processes.For example, the maximum daily temperature in New York City can be modeled as a cyclostationary process: the maximum temperature on July 21 is statistically … 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.

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WebCyclostationarity feature-based (C-FB) detection and classification is a large field of research that has promising applications to intelligent receiver design. … WebJul 23, 2010 · For cyclostationarity-based detection, two architectures that exploit cyclostationarity are proposed: the Spectral Correlation Density (SCD) detector, and the Magnitude Squared Coherence (MSC)...

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. 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 …

WebOct 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 … 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 …

• Cyclostationarity has extremely diverse applications in essentially all fields of engineering and science, as thoroughly documented in and. A few examples are: • Cyclostationarity is used in telecommunications for signal synchronization, transmitter and receiver optimization, and spectrum sensing for cognitive radio;

WebSignal detection is another technique adopted in this work. In order to reduce the interference of the noise to the detection of signal number, some good methods were proposed, such as classic signal detection algorithms containing energy detection , matched-filter detection , cyclostationarity-based detection , etc. fishy boiWebfilter and cyclostationarity based hypothe-sis test, gives better detection performance as compared to energy detection and cy-clostationary detection without FRESH filters. … candy store greenfield inWebDec 12, 2024 · Energy detection- and matched filter-based spectrum sensing methods are discussed in detail. The performance of the proposed algorithm was tested over non-fading and different fading channels for low signal-to-noise ratio regime with noise uncertainty. ... Cyclostationarity-based soft cooperative spectrum sensing for cognitive radio … candy store imperial beachWebFor 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. ... fishy body odor cureWebCommunications 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 … fish y bonesWebCyclostationary-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 candy store huntsville alWebcyclostationarity 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 fishy boopkins as a human