摘要
在高斯噪声背景假设条件下,能量检测的频谱感知性能最优且易于工程实现,但在非高斯噪声背景下,其感知性能大大下降甚至无效。针对这一问题,利用对消处理方法来提高能量检测在非高斯噪声下的频谱感知性能,通过将检测统计量与先验背景噪声进行对消预处理,在降低噪声非高斯度的同时提高了统计量的信噪比,从而提高了检测概率,并进一步提高了宽带频谱感知性能。利用USRP、GNURADIO和MATLAB设计并实现了频谱感知平台,同时验证了该算法的可行性。
Under the background of Gaussian noise, the performance of spectrum sensing based on energy detection is optimal. But under the background of non-Gaussian noise, the performance of spectrum sensing drops greatly. In order to deal with the problem,a method of cancellation processing based on energy detection method is put forward, which is signal data minus no signal noise data. Compared with the method of energy detection, the way of cancellation processing improves detection probability by increasing the signal-to-noise ratios, so as to improve the performance of spectrum sensing. The effective spectrum sensing platform is de-signed and implemented based on USRP, GNURADIO and MATLAB, which verifies the feasibility of the algorithm.
出处
《电子技术应用》
北大核心
2017年第9期93-97,共5页
Application of Electronic Technique
基金
国家青年基金项目(61501223)
