Multi-criteria signal synthesis procedure for adapting cognitive radio systems to the influence of interfering factors in the Arctic

Abstract For trouble-free operation of robotic complexes in the Arctic, it is necessary to use reliable radio channels to transmit control commands and to receive data from the robot. During operation, the data radio channel influenced by intentional and unintentional interference. Radio signal synt...

Full description

Bibliographic Details
Published in:IOP Conference Series: Earth and Environmental Science
Main Authors: Kirillov, S N, Lisnichuk, A A
Format: Article in Journal/Newspaper
Language:unknown
Published: IOP Publishing 2019
Subjects:
Online Access:http://dx.doi.org/10.1088/1755-1315/302/1/012059
https://iopscience.iop.org/article/10.1088/1755-1315/302/1/012059/pdf
https://iopscience.iop.org/article/10.1088/1755-1315/302/1/012059
Description
Summary:Abstract For trouble-free operation of robotic complexes in the Arctic, it is necessary to use reliable radio channels to transmit control commands and to receive data from the robot. During operation, the data radio channel influenced by intentional and unintentional interference. Radio signal synthesis procedure is proposed to ensure efficient operation of robotic systems in complex interference-signal environment adaptation using cognitive radio transmission of information under influence of interfering factors. For creating a radio synthesis procedure used generalized representation signals. The objective function of multi-criteria synthesis of radio signals is substantiated. This function uses a combined quality criterion, which includes particular criteria responsible for throughput and detuning from interference, noise immunity as well as spectral and energy efficiency of the signal formed. The procedure of multi-criteria synthesis of radio signals includes the step of estimating the power spectral density of the interference, the formation of the objective function and optimization for finding the optimum of the objective function. Quasi-Newton methods with finite-difference approximation of derivatives are used for the optimization procedure, since the maximum speed of the algorithm is ensured. The proposed procedure was simulated on a computer. The model included a channel with additive white Gaussian noise and narrowband interference. The study showed that the synthesized radio signals at most unfavorable (among the considered) effects on radio channel by narrow-band interference provide noise immunity at the QPSK-signal level when exposed only to additive white Gaussian noise.