Model of complex weighting coefficients of adaptive spatial filtering algorithm based on conjugate gradient method
Journal Title: Scholars Journal of Engineering and Technology - Year 2016, Vol 4, Issue 12
Abstract
In recent years, GPS, GLONASS and other global navigation satellite systems (Galileo, BeiDou, IRNSS, QZSS) are widely used in both civilian and military applications for navigation, positioning, distance measurement, missile guidance, time synchronization and other applications. However, GPS, GLONASS, Galileo etc. signals are very weak and easily fall under the influence of radio frequency interference. Suppression GPS, GLONASS, Galileo etc. signals can have different types, intentional or not intentional. The paper presents a comprehensive definition of the weighting coefficients of adaptive spatial filtering algorithm based on conjugate gradient method. A distinctive feature of this model is the use of quasi-Newton method for finding the minimum objective function – conjugate gradient method; it can significantly reduce the computational cost of the calculation, while ensuring a given level of noise suppression. The research of potential characteristics of the adaptive interference compensator while suppressing to three interferences showed that the adaptive compensator allows doing the noise suppression for amount of interferences with the level of no worse than 40 dB. Keywords: noise suppression, conjugate gradient, interference compensator, quasi-Newton method, spatial filtering, objective function, GPS, GLONASS, Galileo, BeiDou, IRNSS, QZSS.
Authors and Affiliations
Kostiantyn V. Herasymenko
Keywords
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