Signal resolution poly-gaussian algorithm for non-gaussian interference simulation modeling

Abstract

The effective use of the code division multiplexing communication systems channel resource requires the new solutions for conflict-free and high-quality reception and transmission of mixed traffic under the conditions of an exponential increase in the number and density of wireless network subscribers, in particular, those who use multiservice services. At the signal transmission channel layer this problem is solved by applying mathematical models adequate to the real signal-noise environment and algorithms for receiving noise-like signals in dynamic jamming mixtures, which provide increased noise immunity, system capacity and having acceptable computational complexity (technical feasibility of signal processing devices), which is extremely important. In practical applications, the system model includes a parametric quasi-stationary channel, a random number of quasi-determined signals and randomly fluctuating interferences, which determines the real signal-noise situation in the communication system radio interface operational area.In this article, scientific and engineering problems related to the use of software for complicated interference cases secondary signal processing, particularly algorithms based on post-correlation synthesis and analysis technology, are considered. The original simulation software modules are described, which allows to compensate inaccuracy and modeling errors that occur when traditional visual and imitative mathematical modeling tools are applied.