Matrix computations (3rd ed.)
A new maximum-likelihood method for modulation classification
ASILOMAR '95 Proceedings of the 29th Asilomar Conference on Signals, Systems and Computers (2-Volume Set)
Wireless Communications Systems: Advanced Techniques for Signal Reception
Wireless Communications Systems: Advanced Techniques for Signal Reception
Classification of modulation modes using time-frequency methods
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05
Digital Modulation identification model using wavelet transform and statistical parameters
Journal of Computer Systems, Networks, and Communications
Higher-order cyclic cumulants for high order modulation classification
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume I
QAM constellation classification based on statistical sampling for linear distortive channels
IEEE Transactions on Signal Processing
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Constellation classification for phase-amplitude-modulated signals transmitted through unknown intersymbol interference channels is proposed based on the sequential Monte Carlo (SMC) framework under both stochastic and deterministic settings. The stochastic SMC-based constellation classification (SMC-CC) sampler generates constellation symbol samples based on importance sampling and resampling techniques, whereas the deterministic SMC-CC approach recursively performs exploration and selection steps in a greedy manner. Then the constellation classification is achieved according to the distribution of the drawn samples in both the stochastic SMC-CC and the deterministic SMC-CC. Moreover, both the proposed methods are achieved along with joint estimation of transmitted data symbols and channel taps. Simulations show that the proposed methods perform well on various constellations with different cardinalities, as well as constellations with symbols.