Poster + Paper
20 September 2020 Research and analysis of methods for generating and processing new code structures for the problems of detection, synchronization and noise-resistant coding
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Conference Poster
Abstract
The article provides an analysis of new code structures of maximum length obtained from rows of quasi-orthogonal matrices. Codes of maximum length (m-sequences, codes constructed on the basis of Legendre symbols or quadratic residues, codes generated on the basis of Jacobi symbols and others) have the potential to be widely used both in remote sensing radar systems and in noise-immune and noise-proof systems high-speed communications as a replacement for widely used Barker codes. The questions of searching and researching new noise-resistant codes constructed on the basis of persymmetric circulants are considered. Comparison of performance ratings obtained with the new code sequences is given. The advantages of the codes obtained in the work are discussed in the aspects of increasing the correlation characteristics, their detection, and noise immunity in the radio channels of distributed systems. Since these codes have potential applications in radar, not only the correlation properties (autocorrelation and periodic correlation function) are considered, as for communication systems, but also the ambiguity function, which takes into account not only the correlation of signals in time, but also in frequency. The results show the possibility for their use in distributed location systems, not only in the case of remote sensing of the earth, but also in the field of application of the transmission of generated signals to points of joint information processing.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Evgeniy K. Grigoriev, Vadim A. Nenashev, Alexander M. Sergeev, and Sergey A. Nenashev "Research and analysis of methods for generating and processing new code structures for the problems of detection, synchronization and noise-resistant coding", Proc. SPIE 11533, Image and Signal Processing for Remote Sensing XXVI, 115331L (20 September 2020); https://doi.org/10.1117/12.2574238
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Cited by 1 scholarly publication.
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KEYWORDS
Analytical research

Distributed computing

Telecommunications

Radar

Remote sensing

Correlation function

Matrices

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