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On the Performance of Covariance Based Spectrum Sensing for Cognitive Radio

机译:基于协方差的认知无线电频谱感知性能研究

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In this paper, the distribution of the test-statistic for the covariance based detection (CBD) is studied in order to obtain the mathematical expressions of false alarm probability $(P_{f})$ and detection probability $(P_{d})$ . The formulation of decision threshold $lambda$ for any $P_{f}$ is also presented. The expression of $P_{d}$ allows to evaluate the performance of the CBD technology. Finally, the decision threshold, as well as the derived $P_{f}$ and $P_{d}$ , is verified with Monte-Carlo simulations.
机译:在本文中,研究了基于协方差的检测(CBD)的测试统计量的分布,以获得误报概率$(P_ {f})$和检测概率$(P_ {d})的数学表达式。 $。还提出了对任何$ P_ {f} $的决策阈值$ lambda $的制定。 $ P_ {d} $的表达式可以评估CBD技术的性能。最后,决策阈值以及派生的$ P_ {f} $和$ P_ {d} $用蒙特卡洛模拟进行了验证。

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