A Noise Immunity Estimation of the Gold Sequence Ensembles Fast Delay Acquisition Devices

Abstract

Object of consideration – asynchronous-address systems, using code division of channels. A subject of the analysis - the quasi-orthogonal signals ensembles based on the Gold sequences providing reliable division of channels at influence of imitation interference, signal-like noises and devices of their processing. The purpose of the analysis is to optimize the structure of the Gold sequences ensemble and to estimate the noise immunity characteristics of the delay acquisition devices. The solution is based on the principles and mathematical models developed by authors: the principle of the fast conversions in Galois fields, algebraic model of representation and structure of fast delay acquisition devices for a subclass of the sequences based on the Gold sequences. This article is devoted to create of models to mapping the original Gold sequences in the aggregate of short M-sequences, searching for conditions for their joint adaptive processing, as well as evaluating the characteristics of the decision making reliability. Key features of the described method of processing are implementation of correlation reception of set of synchronized short sequences samples having identical structure with accumulation of symbols from multiple copies of short sequences received from initial Gold sequence. It is shown that the proposed mapping models, together with offered delay acquisition devices, provide a high level of device adaptation to changes in the signal structure over a wide range. The offered versions of the scheme of delay acquisition carry out reception and preprocessing of code sequences in real time that favorably distinguishes them from the known schemes, which are carrying out fast conversions by other methods. Presented results will be useful to the specialists who are engaged in design of the asynchronous-address systems using aggregate signals with large base and changeable structure for ensuring protection against influence of signal-like noises.