Open Access Open Access  Restricted Access Subscription or Fee Access

An Intelligent Digital Signal Type Recognizer

Ataollah Ebrahimzadeh, Abolfazl Ranjbar


Digital signal type recognition is an important issue in communication intelligence system. Most of the proposed recognizers (techniques) can only identify a few kinds of digital signal and/or low order of digital signals. They usually require high levels of signal to noise ratio (SNR). This paper presents a new intelligent recognizer that includes a variety of digital signals. In this recognizer, higher order moments and higher order cumulants up to eighth are used as the features. A multilayer perceptron neural network with resilient back propagation learning algorithm is utilized to determine the membership of the received signal. The numbers of nodes in the hidden layer, along with the selection of input features are optimized using a genetic algorithm. Simulation results show that the proposed recognizer has high
performance for recognition the different kinds of digital signal even at very low SNRs. This high performance is achieved with only seven selected features and the least possible number of nodes in the hidden layer, which have been optimized using genetic algorithm.


Statistical pattern recognition, signal type recognition, neural network, learning algorithms, optimization, higher order statistics.

Full Text:


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.