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An Advanced CDF Based Spectrum Occupancy Rate Measurement Method by Simultaneous Estimation of Gaussian Noise Power and Time Period

机译:基于高斯噪声功率和时间周期的同时估计的基于CDF的先进频谱占用率测量方法。

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Spectrum occupancy rate (SOR) is an important parameter to indicate spectrum utilization efficiency. CDF (Cumulative Probability Distribution Function) based SOR measurement method using least square estimation of Gaussian noise time period was proposed to measure SOR, however Gaussian noise power CDF is required as reference for each frequency bin and the noise uncertainty degrades SOR measurement performance. To solve this problem, this paper proposes an advanced CDF based SOR measurement method by simultaneous estimation of Gaussian noise power and time period. Computer simulations and experiments for SOR measurement performance evaluation confirmed that the proposed method achieves accurate SOR measurement performance in low SNR conditions even if noise uncertainty exists.
机译:频谱占用率(SOR)是指示频谱利用率的重要参数。提出了基于CDF(累积概率分布函数)的SOR测量方法,该方法使用高斯噪声时间段的最小二乘估计来测量SOR,但是每个频率仓都需要高斯噪声功率CDF作为参考,并且噪声不确定性降低了SOR测量性能。为了解决这个问题,本文提出了一种通过同时估计高斯噪声功率和时间周期的基于CDF的高级SOR测量方法。用于SOR测量性能评估的计算机仿真和实验证实,即使存在噪声不确定性,该方法也能在低SNR条件下实现准确的SOR测量性能。

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