Reception of differential binary phase shift keying signals with weight processing of sub-symbols in information transmission systems with frequency hopping spread spectrum.

Abstract

Signals with frequency hopping spread spectrum (FHSS) have long been widely used in military radio communication systems (RCS) due to their frequency-energy characteristics. In such systems, the most important characteristic is noise immunity, i.e. the ability to ensure reliable transmission and reception of information under the influence of various types of organized intentional and unintentional interference. In this paper, we consider the case when the input of the receiver, in addition to the receiver's own noise, contains deliberate interference, which is considered noise interference. In this case, it is assumed that the interference covers only part of the operating frequencies of the radio communication system. The algorithm of optimal noncoherent signal reception with weight processing for making a decision about the transmitted symbol (bit) is in the focus of the paper. Static radio engineering methods, as well as Monte Carlo simulation, have been used to evaluate the noise immunity of receiving differential binary phase shift keying signals with FHSS when exposed to deliberate Partial-Band Interference. It is shown that the noise immunity of a radio communication system under conditions of destructive influence can be improved by using the intra-symbols FHSS mode with the proposed reception algorithm. With an increase in the signal-to-interference ratio, the noise immunity of information transmission increases significantly. The optimal strategy for dealing with Partial-Band Interference when the RCS is operating in the intra-symbols FHSS mode is to select the optimal multiplicity of symbol frequency diversity, which minimizes the probability of a bit error probability. The obtained dependencies are presented in order to compare and determine the effectiveness of the considered transmission mode with the proposed reception algorithm.