Research Article
Sequential Monte Carlo-based Constellation Classification for ISI Channels: Superconstellation Method
@INPROCEEDINGS{10.1109/CHINACOM.2009.5339754, author={Jianping Zheng and Baoming Bai and Ying Li}, title={Sequential Monte Carlo-based Constellation Classification for ISI Channels: Superconstellation Method}, proceedings={ChinaCom2009-Wireless Communications and Networking Symposium}, publisher={IEEE}, proceedings_a={CHINACOM2009-WCN}, year={2009}, month={11}, keywords={Digital modulation classification; sequential Monte Carlo; intersymbol interference}, doi={10.1109/CHINACOM.2009.5339754} }- Jianping Zheng
Baoming Bai
Ying Li
Year: 2009
Sequential Monte Carlo-based Constellation Classification for ISI Channels: Superconstellation Method
CHINACOM2009-WCN
IEEE
DOI: 10.1109/CHINACOM.2009.5339754
Abstract
The digital modulation classification for phaseamplitude- modulated signals transmitted through intersymbol interference (ISI) channels is considered. A classification method is proposed based on the sequential Monte Carlo (SMC) framework. In the proposed method, samples drawn from a superconstellation consisting of all the possible constellations are first evolved through the sequential importance sampling and resampling mechanism, then the constellation classification is achieved according to the distribution of the drawn samples. Moreover, digital modulation classification can be achieved along with joint estimation of transmitted data symbols and channel taps. Simulations show that the proposed classification method performs well on various constellations with different cardinalities, as well as constellations with symbols.