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https://repositorio.ister.edu.ec//handle/68000/817| Tipo de material: | Libro |
| Título : | Innovation and Research – Smart Technologies & Systems |
| Otros títulos : | Performance Analysis of Coherent and Non-coherent Detection Techniques in Chirp Spread Spectrum for Internet of Things Applications |
| Autor : | Minango Negrete, Juan Carlos Zambrano Vizuete, Oscar Marcelo Toapanta Toapanta, Segundo Moises |
| Descriptores : | CHIRP SPREAD SPECTRUM (CSS) INTERNET OF THINGS (IOT) COHERENT DETECTION NON-COHERENT DETECTION PERFORMANCE ANALYSIS |
| Palabras clave : | Internet of Things systems Performance analysis Sensing techniques Wireless communication |
| Fecha de publicación : | 29-jun-2024 |
| Editorial : | Sangolquí, Ecuador. Instituto Tecnológico Universitario Rumiñahui |
| Páginas : | 27 p. |
| Acceso: | openAccess CC0 1.0 Universal |
| Descripción : | This paper presents an analysis of Chirp Spread Spectrum (CSS) for Internet of Things (IoT) applications, focusing on the perfor mance of coherent and non-coherent detectors in various channel environ ments. The study evaluates scenarios with additive white Gaussian noise (AWGN), frequency-selective channels, and Rayleigh fading channels, considering a system with 10 receiving antennas. The results demon strate that the coherent detector outperforms the non-coherent detector in terms of performance. However, the non-coherent detector offers the advantage of lower complexity. To further improve the performance of non-coherent detection in CSS-based IoT systems, the need for explor ing new techniques is emphasized. Future research should aim to bridge the performance gap between coherent and non-coherent detection, con sidering adaptive signal processing algorithms, advanced filtering tech niques, or hybrid detection schemes. By addressing the challenges asso ciated with non-coherent detection, CSS can become a reliable and effi cient modulation scheme for low signal-to-noise ratio conditions in IoT applications. This research contributes to the advancement of CSS in IoT, enabling seamless connectivity and data exchange in diverse IoT scenarios. |
| URI : | https://repositorio.ister.edu.ec//handle/68000/817 |
| ISBN : | 9783031634345 |
| Aparece en las colecciones: | Capítulo de Libros, Año 2024 |
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|---|---|---|---|---|
| Innovation and.pdf | Full text | 616,02 kB | Adobe PDF | ![]() Visualizar/Abrir |
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