Automatic modulation recognition is a rapidly evolving area of signal analysis. In recent
years, interest from the academic and military research institutes has focused around the …

The automatic recognition of the modulation format of a detected signal, the intermediate
step between signal detection and demodulation, is a major task of an intelligent receiver …

This paper introduces two algorithms for analog and digital modulations recognition. The
first algorithm utilizes the decision-theoretic approach in which a set of decision criteria for …

In both covert and overt operations, modulation identification plays an important role. In
communication intelligence (COMINT) applications the main objective is the perfect …

In this chapter the artificial neural networks (ANNs) approach as another solution for the
modulation recognition process is studied in some detail. Unlike in other algorithms …

Constellation diagram is a traditional and powerful tool for design and evaluation of digital
modulations. In this work we propose to use constellation shape as a robust signature for …

This paper addresses automatic modulation classification for PSK and QAM signals under
coherent and noncoherent conditions. In particular, the paper extends previous results by …

For several reasons, modulation recognition is extremely important in communication
intelligence (COMINT). In this paper, a global procedure for recognition of analogue …

A global procedure for recognition of analogue and digital modulation types, utilising the
decision-theoretic approach, is developed. It involves two main steps: a reliable …

Traditional methods of signal classification, including phase and frequency histograms,
modulus measurements, and power-spectrum measurements, fail when the signal-to-noise …