The article discusses the issues of building control tools for computer networks using spread spectrum signals. The standards and methods for processing spread spectrum signals in computer networks are considered. The basis for the development of the system was chosen affordable solutions that allow to evaluate the operational characteristics of wireless network equipment based on the Nexmon SDR project and RTL-SDR class devices. A hardware-software complex was developed and practically implemented for monitoring parameters of spread spectrum signals. One of the main controlled parameters for analyzing the capabilities of a spread spectrum signal over a communication range is the signal-to-noise ratio. The developed device provides operation in the range of 2400(S) with bandwidths of 500 kHz, 1 MHz, 2 MHz, realizing binary phase shift keying. The technology of spreading the spectrum using the direct sequence spread spectrum method. As pseudo-random sequences for a spread spectrum signal, m-sequences were chosen. An algorithm has been developed for demodulating the incoming quadrature signal using tools developed in Python. The algorithm performs decimation, filtering the signal and allows you to build correlation functions. The graphs of the spectra of the transmitted signals and correlation functions at the output of the demodulator for a bandwidth of 2 MHz are presented. The results obtained make it possible to evaluate the quality of networks using spread spectrum signals.
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