Energy Detection Based Spectrum Sensing with Unknown Primary Signal Arrival Time
碩士 === 國立交通大學 === 電信工程研究所 === 98 === Spectrum sensing in next-generation wireless cognitive systems, such as overlay femtocell net-works, is typically subject to timing misalignment between the primary transmitter and the secondary receiver. In this thesis we investigate the performance of the energ...
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| Format: | Others |
| Language: | en_US |
| Published: |
2010
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| Online Access: | http://ndltd.ncl.edu.tw/handle/19530075301447114822 |
| Summary: | 碩士 === 國立交通大學 === 電信工程研究所 === 98 === Spectrum sensing in next-generation wireless cognitive systems, such as overlay
femtocell net-works, is typically subject to timing misalignment between the primary
transmitter and the secondary receiver. In this thesis we investigate the performance of the
energy detector (ED) when the arrival time of the primary signal is modeled as a uniform
random variable over the observation interval. The exact formula for the detection probability
is derived and corroborated via numerical simulation. To further improve the detection
performance, we propose a robust ED based on the Bayesian principle. In addition, when the
primary signal arrival time is unknown but fixed, we propose another detection rule based on
the generalized-likelihood ratio test (GLRT) to improve the detection performance. Computer
simulation confirms the effectiveness of the Bayesian based and the GLRT based solution
when compared with the traditional ED.
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