Cyclostationarity-based detection

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August undefined, 2024

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

Cyclostationarity - an overview ScienceDirect Topics

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 … 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 … how to replant money tree plant

Cyclic Statistic - an overview ScienceDirect Topics

WebEnter the email address you signed up with and we'll email you a reset link. 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 … http://www.jocm.us/uploadfile/2015/0203/20150203110516195.pdf northborough senior center facebook page

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

Cyclic Correntropy: Foundations and Theories - IEEE Xplore

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 ... WebJun 5, 2009 · The use of cyclostationarity based methods for distributed signal detection and classification are presented. Examples are given to illustrate the concepts. The Matlab codes for some of the algorithms described in the paper are available for free download at http://filebox.vt.edu/user/bramkum. northborough self storageWebFeb 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. how to replant orchids plants

"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 … " - Cyclostationarity-based detection

Cyclostationarity-based detection

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. WebJun 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.

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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 … 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 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 ]. 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.

WebJun 1, 2013 · The proposed multi-variate non-parametric average sample power and cyclostationarity-based quickest detection scheme is … WebMar 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.

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. how to replant orchids in waterWebThis 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 ... how to replant plant• 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; northborough senior center calendarWebCyclostationary-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 northborough senior center ping pongWebNov 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.... northborough senior center newsletterWebDec 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 … how to replant plants from nurseryWebA 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 … how to replant rhubarb step by step