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| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.contributor.author | Minango Negrete, Juan Carlos | - |
| dc.contributor.author | Zambrano Vizuete, Oscar Marcelo | - |
| dc.contributor.author | Toapanta Toapanta, Segundo Moises | - |
| dc.date.accessioned | 2026-08-14T16:24:11Z | - |
| dc.date.available | 2026-08-14T16:24:11Z | - |
| dc.date.issued | 2024-06-29 | - |
| dc.identifier.isbn | 9783031634345 | - |
| dc.identifier.uri | https://repositorio.ister.edu.ec//handle/68000/817 | - |
| dc.description | 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. | es_ES |
| dc.format.extent | 27 p. | es_ES |
| dc.language.iso | en | es_ES |
| dc.publisher | Sangolquí, Ecuador. Instituto Tecnológico Universitario Rumiñahui | es_ES |
| dc.rights | openAccess | es_ES |
| dc.rights | CC0 1.0 Universal | * |
| dc.rights.uri | http://creativecommons.org/publicdomain/zero/1.0/ | * |
| dc.subject | CHIRP SPREAD SPECTRUM (CSS) | es_ES |
| dc.subject | INTERNET OF THINGS (IOT) | es_ES |
| dc.subject | COHERENT DETECTION | es_ES |
| dc.subject | NON-COHERENT DETECTION | es_ES |
| dc.subject | PERFORMANCE ANALYSIS | es_ES |
| dc.subject.other | Internet of Things | es_ES |
| dc.subject.other | systems Performance analysis | es_ES |
| dc.subject.other | Sensing techniques | es_ES |
| dc.subject.other | Wireless communication | es_ES |
| dc.title | Innovation and Research – Smart Technologies & Systems | es_ES |
| dc.title.alternative | Performance Analysis of Coherent and Non-coherent Detection Techniques in Chirp Spread Spectrum for Internet of Things Applications | es_ES |
| dc.type | Libro | es_ES |
| Aparece en las colecciones: | Capítulo de Libros, Año 2024 | |
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| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
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