On the performance evaluation of Eigenvalue-based spectrum sensing detector for MIMO systems
| Autor: | Yves Louet, Amor Nafkha, Youssef Nasser, Hussein Kobeissi, Oussama Bazzi |
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| Přispěvatelé: | Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Department of Physics and Electronics, Lebanese University [Beirut] (LU), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université de Nantes (UN)-Université de Rennes 1 (UR1) |
| Rok vydání: | 2014 |
| Předmět: |
Spectrum sensing
Wishart distribution Wishard Computer science Cumulative distribution function 05 social sciences Detector MIMO 050801 communication & media studies 020206 networking & telecommunications Probability density function 02 engineering and technology Noise (electronics) 0508 media and communications Cognitive radio [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing Statistics 0202 electrical engineering electronic engineering information engineering Measurement uncertainty High Energy Physics::Experiment [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing Algorithm finite dimension |
| Zdroj: | Proceedings of the 31st General Assembly of the International Union of Radio Science URSI 2014 URSI 2014, Aug 2014, Beijing, China |
| Popis: | International audience; The agility of any cognitive radio system largely depends on the performance of the spectrum sensing technique used. While the Energy Detector (ED) is considered to be a very simple technique in practice, it suffers from noise and measurement uncertainty. To overcome this uncertainty, the Eigenvalue Based Detector (EBD) is currently proposed as a promising technique for spectrum sensing. In this paper, we propose to analyze the performance of such a detector in a finite context. More specifically, we derive the analytical form of the cumulative density function (CDF) and the probability density function (PDF) of the 3xN MIMO like signal based on Wishart matrix. Then, we evaluate the performance of the EBD detector with 2 and 3 antennas in terms of CDF, probability of false alarm, and probability of detection. |
| Databáze: | OpenAIRE |
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