scholarly journals Broadband slot stripline antenna for high-precision positioning by signals of global navigational satellite systems

2019 ◽  
Vol 30 ◽  
pp. 05025
Author(s):  
Vladimir Shepov ◽  
Valery Vladimirov ◽  
Alexander Kondratyev ◽  
Vladimir Borisov
Keyword(s):  
High Precision ◽  
Global Navigation Satellite Systems ◽  
Navigation Satellite ◽  
Precision Positioning ◽  
Leaky Wave ◽  
Satellite Systems ◽  
Leaky Wave Antenna ◽  
Wave Antenna ◽  
Global Navigation ◽  
Global Navigation Satellite

We present the results of the development of a new broadband slot stripline leaky wave antenna intended for high-precision positioning by signals of global navigation satellite systems (GNSS) in the following bands: GLONASS L1/L2/L3, GPS L1/L2/L5, GALILEO E5a/E5b/E6/E1, COMPASS B1/B2/B3.

Synthesis of interference resistant spatiotemporal filter for navigation parameters high precision measurements using global navigation satellite systems

2020 ◽  
pp. 52-60
Author(s):  
Sergey N. Karutin ◽  
Vladimir N. Kharisov ◽  
Vasiliy S. Pavlov
Keyword(s):  
Signal Processing ◽  
High Precision ◽  
Global Navigation Satellite Systems ◽  
Navigation Satellite ◽  
Satellite Systems ◽  
Spatiotemporal Signal ◽  
Signal Processing Algorithms ◽  
Processing Algorithms ◽  
Global Navigation ◽  
Global Navigation Satellite

The article considers problems of modern global navigation satellite systems high-precision user terminals performance in jamming and spoofing environment. The solution to the low interference resistance problem is the use of digital antenna arrays with spatiotemporal signal processing algorithms. The well-known, most studied and brought to practice algorithms for the spatiotemporal signal processing are described, reasons that do not allow the use of these algorithms in global navigation satellite systems high-precision user terminals are given. This article proposes a spatiotemporal signal processing algorithm based on a spatiotemporal filter of finite length with a special, theoretically justified requirement for the Hermitian symmetry of the matrix impulse response, which guarantees the absence of signal distortion in any interference environment. In this case, the spatiotemporal filter impulse response is calculated by the criterion of optimal interference suppression. The proposed spatiotemporal filter characteristics, as well as other spatiotemporal signal processing algorithms characteristics, were studied by mathematical simulation with random enumeration of interference environment parameters (directions to signals, to numerous interferences and their reflections, range of interference reflectors, reflection phases, interference and reflections levels, etc.). Simulation results are presented in the form of distribution functions of signal-to-noise ratios at the output of spatiotemporal signal processing algorithms and distribution functions of phase and signal time biases. The obtained dependencies confirm the absence of phase and signal time biases in the spatiotemporal filter in absolutely any interference environment with interfering multipath, while the spatiotemporal filter provides greater interference resistance than compensating spatiotemporal signal processing algorithms.

scholarly journals Modelagem fuzzy aplicada na detecção da vulnerabildade à erosão costeira

2013 ◽  
Vol 19 (4) ◽  
pp. 746-764 ◽  
Author(s):  
Luciana Maria da Silva ◽  
Rodrigo Mikosz Gonçalves ◽  
Milde Maria da Silva Lira ◽  
Pedro de Souza Pereira
Keyword(s):  
Global Navigation Satellite Systems ◽  
Navigation Satellite ◽  
Satellite Systems ◽  
Global Navigation ◽  
Global Navigation Satellite

O crescimento da urbanização vem provocando grandes transformações nas relações sociais e morfológica das áreas costeiras. O presente trabalho tem como objetivo modelar massa de dados de diversas fontes como GNSS (Global Navigation Satellite Systems) e sensoriamento remoto para posteriormente prover a espacialização da vulnerabilidade costeira à erosão utilizando a lógica fuzzy. O método aplicado para análise da vulnerabilidade utilizou variáveis linguísticas, partições fuzzy, intervalos e análises paramétricas que caracterizam a modelagem fuzzy. Após análise, os níveis de vulnerabilidade à erosão costeira ao longo da linha de costa nas cidades do Recife e Jaboatão dos Guararapes no litoral de Pernambuco apresentaram os seguintes resultados: 33,33% da linha de costa possuem vulnerabilidade baixa, 38,15% possui vulnerabilidade moderada, 14,26% vulnerabilidade alta e 14,26% muito alta.

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