Download or read book Mixed Signal Detection and Parameter Estimation Based on Second order Cyclostationary Features written by Dong Li and published by . This book was released on 2015 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal detection and radio frequency (RF) parameter estimation have received a lot of attention in recent years due to the need of spectrum sensing in many military and civilian communication applications. In most of existing work, the target signal is assumed to be a single RF signal with no overlapping with other RF signals. However, in a spectrally congested and spectrally contested environment, multiple signals are often mixed together at the signal detector with significant overlap in spectrum. Conventional frequency analysis through Fourier transform is not capable of detecting mixed signals with significant spectral overlap. In this thesis, we first demonstrate the feasibility of using second-order cyclostationary feature to perform mixed signal detection. We then use the cyclostationary features to estimate the carrier frequencies of these mixed signals. Next, we extend our work to higher order modulation. We develop a robust algorithm to detect mixed signals and estimate their symbol rates as well as carrier frequencies via spectral coherence function (SOF) features. Furthermore, we evaluate the detection and estimation performances of the proposed algorithm in various channel conditions and signal mixture scenarios. Simulation results confirm the effectiveness of the proposed schemes.
Download or read book Mixed Signal Detection Estimation and Modulation Classification written by Yang Qu and published by . This book was released on 2019 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal detection, parameter estimation and modulation classification are widely applied to many areas and plays a very important role in civilian and military, such as bio-science, criminal psychology, communication engineering, radar system, electronic warfare and so on. In the civilian field, with the increasing number of wireless electronic devices and higher transmission data rate demand, the problem of spectrum congestion becomes more and more highlighted and urgent. In recent years, wireless industry has shown great interest in Cognitive Radio (CR) and Dynamic Spectrum Access (DSA) network, whose primary function is to use limited frequency bands to transmit own signals without any interference with other primary users. Hence, the accuracy of signal detection and parameters estimation are particularly important and can provide reliable communication performance for cognitive radio users. In the military field, electronic warfare is crucial important part in modern war, such as own signal needs to be hidden, securely transmitted and received, enemy's signals need to be identified, located and jammed. Thus, in such a non-cooperative environment, signal detection, parameter estimation and modulation classification technologies become more and more important and challenging. In the past few decades, several signal detection methods have been proposed, such as energy-based detection, matched filter-based detection and cyclostationary feature based detection. Energy based detection is simple to implement, but poorly performing at low SNR. Although the matched filter-based detection is the optimal detector, it needs to accurately know the prior information of the detected signal. Hence, matched filter-based detection is impractical to implement in real environment, such as non-cooperative environment. Cyclostationary feature based signal detection has high computational complexity, but it can be used for high-precision signal detection in low SNR environments. In recent years, there are many researchers show their interest and effort in signal detection, parameter estimation and modulation classification technologies. Most of them are working with single signal detection, parameter estimation and modulation classification. A few people consider time and frequency mixed signals as their target signals. In particular, some people assume that there is no any overlap between co-exited signals in time domain and frequency domain. In such case, we can easily separate those co-existed signals with a band-pass filter in frequency domain. Meanwhile, we can easily know the number of co-existed signals, estimate each signal's parameters and classify their modulation types. However, in a spectrum congested environment, such as cognitive radio and electronic warfare, several signals are often mixed together with plenty of overlap in both time domain and frequency domain. In some special case, several signals are entirely overlapped in time domain and frequency domain, such as in-band full duplex communication signals. It is more challenge to enumerate and classify those kinds of mixed signals. Hence, studying mixed signal detection, parameter estimation and modulation classification is more practical significance. In this dissertation, we employ signal energy-based, mainly employ signal cyclostationary feature and machine learning technology-based methods to detect, estimate and classify mixed signal, which have significant overlap in both time domain and frequency domain. In particular, we employ energy-based detection to preliminary detect the signal is existed or not existed in the channel and use spectrum analysis roughly locate the interesting frequency band. Meanwhile, we employ different order signal cyclostationary features to detect, estimate and classify four popular digital communication signals, which includes low-order modulation type BPSK signal, high-order modulation type QPSK signal, 8-PSK signal and 16-QAM signals. According to our previous work, we can use second-order cyclostationary feature to detect and classify mixed signals, such as mixed BPSK signals, mixed QPSK signals. However, since some signals have no second-order cyclostationary feature, we unable to precisely estimate and classify them by using low order cyclostationary feature, such as we cannot use Spectral Correlation Function (SCF) to classify mixed QPSK signal and 16-QAM signal. So, in this dissertation, we consider some more challenged cases, include detecting, estimating and classifying mixed higher-order modulation signals, such as 16-QAM and 8-PSK signals, classifying mixed signals, which have similar cyclostationary features, such as QPSK and 16-QAM mixed signals, and analyze heavily overlapped mixed signals, such as two signals have same carrier frequency. Moreover, we employ low-order and high order cyclostationary features, i.e., cyclic moment and cyclic cumulants, to detect, estimate and classify more different combinations of mixed signals, such as BPSK and QPSK mixed signal, two QPSK mixed signal, BPSK and 16-QAM mixed signal, etc. In this dissertation, we also provide detailed performance analysis to demonstrate our proposed method can effectively detect mixed signals, estimate mixed signals' parameters, such as carrier frequency, symbol rate and power, and classify mixed signals' modulation types. In addition, our performance analysis is based on AWGN channel, flat fading channel and multi-path fading channels.
Download or read book Second order Cyclostationarity of CP SCLD Signals written by Qiyun Zhang and published by . This book was released on 2010 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Generalizations of Cyclostationary Signal Processing written by Antonio Napolitano and published by John Wiley & Sons. This book was released on 2012-12-07 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: The relative motion between the transmitter and the receiver modifies the nonstationarity properties of the transmitted signal. In particular, the almost-cyclostationarity property exhibited by almost all modulated signals adopted in communications, radar, sonar, and telemetry can be transformed into more general kinds of nonstationarity. A proper statistical characterization of the received signal allows for the design of signal processing algorithms for detection, estimation, and classification that significantly outperform algorithms based on classical descriptions of signals.Generalizations of Cyclostationary Signal Processing addresses these issues and includes the following key features: Presents the underlying theoretical framework, accompanied by details of their practical application, for the mathematical models of generalized almost-cyclostationary processes and spectrally correlated processes; two classes of signals finding growing importance in areas such as mobile communications, radar and sonar. Explains second- and higher-order characterization of nonstationary stochastic processes in time and frequency domains. Discusses continuous- and discrete-time estimators of statistical functions of generalized almost-cyclostationary processes and spectrally correlated processes. Provides analysis of mean-square consistency and asymptotic Normality of statistical function estimators. Offers extensive analysis of Doppler channels owing to the relative motion between transmitter and receiver and/or surrounding scatterers. Performs signal analysis using both the classical stochastic-process approach and the functional approach, where statistical functions are built starting from a single function of time.
Download or read book Parameter Estimation and Signal Detection written by Abdelhak M. Zoubir and published by . This book was released on 1995 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Exploitation of Higher Order Cyclostationarity for Weak Signal Detection and Time Delay Estimation written by and published by . This book was released on 1992 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt: The cumulant theory of cyclostationary time-series is applied to several types of weak-signal detection problems that arise in the area of signal interception, and to the problem of estimating the relative time-delay of a heavily corrupted signal that is received at two locations. The cumulant theory of cyclostationarity (CS) is the theory of higher-order temporal and spectral cumulants and moments of CS time-series. Specifically, the theory characterizes the additive sine waves present in the output of nonlinear transformations of CS time-series. The detection and time-delay estimation problems that are posed are difficult to solve because the signal is weak, the noise and interference is nonstationary and non-Gaussian, and the signal does not exhibit second-order CS.
Download or read book Multi user Signal Classification Via Cyclic Spectral Analysis written by Brent Edward Guenther and published by . This book was released on 2010 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Detection Estimation and Modulation Theory Part III written by Harry L. Van Trees and published by Wiley-Interscience. This book was released on 2001-10-11 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: - Band 2 (Nachdruck als Paperback) des vierbändingen Werkes; insgesamt die umfassendste gegenwärtig erhältliche Abhandlung auf diesem Gebiet - sehr gut verständliche Darstellung aller Aspekte der Signalverarbeitung und des Rauschens - mit zahlreichen anschaulichen Abbildungen und Übungsaufgaben - der behandelte Stoff hat seit der Erstausgabe nicht an Aktualität verloren
Download or read book AMC2N Automatic Modulation Classification Using Feature Clustering Based Two Lane Capsule Networks written by Dhamyaa H. Al‑Nuaimi and published by Infinite Study. This book was released on with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study proves that the AMC2N outperforms existing methods, particularly, convolutional neural network(CNN), Robust‑CNN (R‑CNN), curriculum learning(CL), and Local Binary Pattern (LBP), in terms of accuracy, precision, recall, F‑score, and computation time. All metrics are validated in two scenarios, and the proposed method shows promising results in both.
Download or read book Electrical Electronics Abstracts written by and published by . This book was released on 1997 with total page 1860 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Cyclostationarity in Communications and Signal Processing written by William A. Gardner and published by Institute of Electrical & Electronics Engineers(IEEE). This book was released on 1994 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: From this book, you will learn new concepts, methods, and algorithms for performing signal processing tasks and designing and analyzing communications systems.
Download or read book Cyclostationary Processes and Time Series written by Antonio Napolitano and published by Academic Press. This book was released on 2019-10-24 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many processes in nature arise from the interaction of periodic phenomena with random phenomena. The results are processes that are not periodic, but whose statistical functions are periodic functions of time. These processes are called cyclostationary and are an appropriate mathematical model for signals encountered in many fields including communications, radar, sonar, telemetry, acoustics, mechanics, econometrics, astronomy, and biology. Cyclostationary Processes and Time Series: Theory, Applications, and Generalizations addresses these issues and includes the following key features. Presents the foundations and developments of the second- and higher-order theory of cyclostationary signals Performs signal analysis using both the classical stochastic process approach and the functional approach for time series Provides applications in signal detection and estimation, filtering, parameter estimation, source location, modulation format classification, and biological signal characterization Includes algorithms for cyclic spectral analysis along with Matlab/Octave code Provides generalizations of the classical cyclostationary model in order to account for relative motion between transmitter and receiver and describe irregular statistical cyclicity in the data
Download or read book Index to IEEE Publications written by Institute of Electrical and Electronics Engineers and published by . This book was released on 1987 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: Issues for 1973- cover the entire IEEE technical literature.
Download or read book Handbook of Pulsar Astronomy written by D. R. Lorimer and published by Cambridge University Press. This book was released on 2005 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 2004 book provides a concise description of pulsar research, presenting key techniques, background information and results.
Download or read book Science Abstracts written by and published by . This book was released on 1993 with total page 948 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Automatic Modulation Classification written by Zhechen Zhu and published by John Wiley & Sons. This book was released on 2015-02-16 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic Modulation Classification (AMC) has been a key technology in many military, security, and civilian telecommunication applications for decades. In military and security applications, modulation often serves as another level of encryption; in modern civilian applications, multiple modulation types can be employed by a signal transmitter to control the data rate and link reliability. This book offers comprehensive documentation of AMC models, algorithms and implementations for successful modulation recognition. It provides an invaluable theoretical and numerical comparison of AMC algorithms, as well as guidance on state-of-the-art classification designs with specific military and civilian applications in mind. Key Features: Provides an important collection of AMC algorithms in five major categories, from likelihood-based classifiers and distribution-test-based classifiers to feature-based classifiers, machine learning assisted classifiers and blind modulation classifiers Lists detailed implementation for each algorithm based on a unified theoretical background and a comprehensive theoretical and numerical performance comparison Gives clear guidance for the design of specific automatic modulation classifiers for different practical applications in both civilian and military communication systems Includes a MATLAB toolbox on a companion website offering the implementation of a selection of methods discussed in the book
Download or read book Detection Estimation and Modulation Theory written by and published by . This book was released on 1968 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
