Cyclostationarity-based detection

Author: upak

August undefined, 2024

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 ]. 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 …

Cyclostationarity Detectors for Cognitive Radio: Architectural ...

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 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 ... iris shoe box rack

Cyclostationarity - an overview ScienceDirect Topics

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. 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 … porsche factory build sheet

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

WebCyclostationarity feature-based (C-FB) detection and classification is a large field of research that has promising applications to intelligent receiver design. … http://www.jocm.us/uploadfile/2015/0203/20150203110516195.pdf iris shooting bremenWebCyclostationary-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 porsche fabric interior

"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 … " - Cyclostationarity-based detection

Cyclostationarity-based detection

Cyclic Spectral Analysis - File Exchange - MATLAB Central

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.... 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.

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

WebCyclostationarity properties of modulated signals can be suitably exploited in the analysis and design of communications systems since the signals involved are … 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.

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. 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 …

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.

• 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; iris shoe containersWebsensing 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 porsche facilityWebApr 9, 2024 · The analysis of vibratory signals is an important subject in the field of researches on the diagnosis of mechanical breakdowns in rotating machinery. A number of signal processing methods are classified as classical tools, such as statistical analysis, FFT, envelope analysis (EA), and some time-frequency methods such as wavelet multi … porsche facility in atlanta villeWebCyclostationary-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 … porsche factory kedahWebJan 1, 2024 · In this paper, we propose an estimation based cyclostationary spectrum sensing technique in an energy harvesting cooperative cognitive radio network (EH … iris shooting frankfurtWebJan 1, 2015 · In this paper, cyclostationary detection Based spectrum sensing is considered for cognitive radio networks. We first summarize the existing first-order and … iris shooting kölnWebfilter and cyclostationarity based hypothe-sis test, gives better detection performance as compared to energy detection and cy-clostationary detection without FRESH filters. … iris shooting hamburg