Efficiency of the distinguishing of a specific wideband signal under a priori parametric uncertainty

A synthesis and analysis of an algorithm for distinguishing several ultra-wideband quasi-radio signals of arbitrary shape with unknown initial phases and amplitudes, observed with white Gaussian noise, are carried out. The structure and statistical properties of the algorithm for distinguishing are found and an expression is obtained for the average error probability, which characterizes the effectiveness of the synthesized algorithm. The influence of detuning of various signal parameters on the efficiency of the algorithm for distinguishing is studied. A comparison of the effectiveness of the synthesized discriminator and a device for distinguishing narrowband radio signals is made. Recommendations for the use of the synthesized algorithm in practical applications are formulated. Keywords: distinguishing, ultra-wideband, quasi-radio signals, maximum likelihood, average error probability.