Higher-order correlation-based approach to modulation classification of digitally frequency-modulated signals

摘要: A general framework that theoretically links the higher-order correlation (HOC) domain with statistical decision theory is explored. It then applied to problem of classification M-ary frequency shift keying (MFSK) signals when contaminated by additive white Gaussian noise (AWGN). In particular, we propose a novel class classifiers utilizes time-domain HOC operations while completely avoiding explicit determination spectrum observed signal. shown this method delivers performance tightly lower-bounds optimal likelihood-ratio test. addition, intrinsically wideband HOC-based possesses an immunity imperfect knowledge exact locations. Substantial improvement also reported over energy-based rule whenever it applicable. >