Cyclostationarity-based detection

Author: sczx

August undefined, 2024

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 … 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 ].

Cyclostationarity Detectors for Cognitive Radio: Architectural ...

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 ... 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 ... how many soul eater books

Automatic modulation classification for cognitive radios using …

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. 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 … 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. how many soul eater episodes

GitHub - SSTGroup/Cyclostationary-Signal-Processing

Cyclostationary-Signal-Processing/main.m at master - Github

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 … Websensing 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 how did robert hooke name cellsWebJan 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 did robert mccall\u0027s wife die

"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 ... " - Cyclostationarity-based detection

Cyclostationarity-based detection

Observation of large scale precursor correlations ... - ScienceDirect

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 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.

Did you know?

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

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

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)... 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 …

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

WebDec 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 … how did robert l johnson start betWebOct 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 … how did robert johnson sell his soulWebThis 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. how did robert irsay make his moneyWebDec 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 did robert la follette impact societyWebThe 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 … how many soul eater episodes are thereWebFor 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. ... how many souls does ennard havehttp://www.jocm.us/uploadfile/2015/0203/20150203110516195.pdf how many soul shard fragments in a soul shard