Cyclostationarity-based detection

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. WebMar 22, 2024 · In section 3, a resonant band detection method based on cyclostationarity is proposed. In section 4, verification of the validity of the proposed method by the constructed simulation signal, In section 5, the data collected from the bench experiments are applied to further verify the feasibility of the proposed method.

Application of the cyclostationarity analysis in the detection of ...

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 … phoenix continuing education https://phoenix820.com

Cyclostationary detector in ultra Wideband Impulse Radar IEEE ...

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. 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 ... Webfilter and cyclostationarity based hypothe-sis test, gives better detection performance as compared to energy detection and cy-clostationary detection without FRESH filters. … phoenix copley hockeydb

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Cyclostationarity-based detection

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WebJun 1, 2013 · The proposed multi-variate non-parametric average sample power and cyclostationarity-based quickest detection scheme is … WebCyclostationarity-based cooperative spectrum sensing for cognitive radio networks. Abstract: In order to ensure trustworthy coexistence of unlicensed cognitive radio (CR) …

Cyclostationarity-based detection

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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 … 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.

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 … WebJun 18, 2024 · Cyclostationary-Signal-Processing. Many natural and manmade processes have periodic statistical characteristics. These processes are called cyclostationary and …

WebOct 1, 2015 · The cyclostationarity feature detection method exploits the cyclic stationary features of the received signals for detecting primary user transmissions [ 19, 20 ]. Periodicity in the signal or in its statistics, like mean and autocorrelation, results in cyclostationarity features [ 21 ]. 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)...

WebCyclostationarity feature-based (C-FB) detection and classification is a large field of research that has promising applications to intelligent receiver design. …

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 … how do you deal with toxic coworkersWebOct 14, 2024 · The most important cyclostationary features used for network intrusion detection systems (NIDS) are then detected with a feature extractor algorithm, such as … how do you deal with toxic family membersWebThis 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. phoenix convention center west garageWebCyclostationarity properties of modulated signals can be suitably exploited in the analysis and design of communications systems since the signals involved are … phoenix convention center events march 2023WebFifteen years later, in 2006, the most comprehensive survey of cyclostationarity at that time, entitled “Cyclostationarity: Half a Century of Research”, was published in the … phoenix cop ambushhttp://www.jocm.us/uploadfile/2015/0203/20150203110516195.pdf phoenix copper limited addressphoenix cop shot