Signal classification using statistical moments Export

@article{141456, abstract = {An automatic modulation classification algorithm utilizing the statistical moments of the signal phase is developed and used to classify the modulation type of general M-ary PSK signals. It is shown that the nth moment (n even) of the phase of the signal is a monotonic increasing function of M. On the basis of this property, the authors formulate a general hypothesis test, develop a decision rule, and derive an analytic expression for the probability of misclassification. Two examples are given to demonstrate the performance of the algorithm. The algorithm is compared with the quasi-log-likelihood radio (qLLRC), square-law (SLC), and phase-based (PBC) classifiers. The algorithm is outperformed by q LLRC at low CNR but is comparable to SLC and is better than PBC. The qLLRC algorithm is only valid at CNR<0 dB and can be used only to discriminate between BPSK and QPSK signals, whereas the moments algorithm is more general}, author = {Soliman, S. S. and Hsue, S. Z.}, citeulike-article-id = {2817199}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/26.141456}, doi = {10.1109/26.141456}, journal = {Communications, IEEE Transactions on}, keywords = {carrier-to-noise-ratio, cnr, decision-rule, general-hypothesis-test, m-ary-psk-signals, misclassification-probability, modulation-classification-algorithm, monotonic-increasing-function, pattern-recognition, phase-based-classifier, phase-shift-keying, qpsk, quasi-log-likelihood-ratio-classifier, signal-classification, signal-phase, square-law-classifier, statistical-analysisbpsk, statistical-moments}, number = {5}, pages = {908--916}, posted-at = {2008-05-20 17:58:51}, priority = {4}, title = {Signal classification using statistical moments}, url = {http://dx.doi.org/10.1109/26.141456}, volume = {40}, year = {May 1992} }

TY - JOUR ID - 141456 L3 - citeulike-article-id:2817199 N2 - An automatic modulation classification algorithm utilizing the statistical moments of the signal phase is developed and used to classify the modulation type of general M-ary PSK signals. It is shown that the nth moment (n even) of the phase of the signal is a monotonic increasing function of M. On the basis of this property, the authors formulate a general hypothesis test, develop a decision rule, and derive an analytic expression for the probability of misclassification. Two examples are given to demonstrate the performance of the algorithm. The algorithm is compared with the quasi-log-likelihood radio (qLLRC), square-law (SLC), and phase-based (PBC) classifiers. The algorithm is outperformed by q LLRC at low CNR but is comparable to SLC and is better than PBC. The qLLRC algorithm is only valid at CNR<0 dB and can be used only to discriminate between BPSK and QPSK signals, whereas the moments algorithm is more general IS - 5 JF - Communications, IEEE Transactions on EP - 916 TI - Signal classification using statistical moments VL - 40 SP - 908 KW - carrier-to-noise-ratio KW - cnr KW - decision-rule KW - general-hypothesis-test KW - m-ary-psk-signals KW - misclassification-probability KW - modulation-classification-algorithm KW - monotonic-increasing-function KW - pattern-recognition KW - phase-based-classifier KW - phase-shift-keying KW - qpsk KW - quasi-log-likelihood-ratio-classifier KW - signal-classification KW - signal-phase KW - square-law-classifier KW - statistical-analysisbpsk KW - statistical-moments AU - Soliman, SS AU - Hsue, SZ PY - May 1992/// UR - http://dx.doi.org/10.1109/26.141456 ER -