Robust Multiuser Automatic Modulation Classifier for Multipath Fading Channels

Cooperative Modulation Classification of multiple signals in Cognitive Radio Networks

“…The channel between the j th transmitter and the i th receiving antenna at each receiver is denoted as h ij (z −1 ) and is given by [16]:…”

“…In order to compute the B matrix, knowledge of the channel matrix H(z −1 ) is required. Several algorithms are presented in the literature for blind channel estimation, such as [2], [16], [21].…”

“…In most of multi-user signal classifiers proposed, the higher order cumulants of the received signals are used for classification [2], [13]- [15]. Multi-user classification in AWGN channels is investigated in [14], [15], whereas classification in the more realistic multi-path channels is investigated in [2], [13], [16]. Although high order cumulants have been used as discriminating features for modulation classification in both single user and multi-user scenarios extensively, they have been used either individually or in hierarchical approaches.…”

“…It becomes highly probable that multiple signals will coexist within the same band with the advancement of CRs and dynamic spectrum access technologies. While many have looked at the detection and classification of a single signal, few researches have looked at the multi-user signal classification problem [2], [12]- [16].…”

Modulation Classification Based on Extensible Neural Networks

“…HOS statistics features had excellent anti-Gaussian white noise. Similarly, the literature [13] adopted HOS features to combat multipath fading. In [14], a statistic classifier within a multipath channel had been proposed to estimate signal parameters.…”