Estimation of Noise Power Uncertainty Interval and Energy Detector with Lowering SNR WALL Deterioration
Xie Xian-zhong Hu Xiao-feng Ma Bin
Chongqing Key Laboratory of Mobile Communications Technology & Institute of Personal Communications, Chongqing
University of Posts and Telecommunications, Chongqing 400065, China
Abstract：Energy Detector (ED) is the most common way of idle spectrum sensing in cognitive radio. However, its performance may suffer seriously from the Noise Power Uncertainty (NPU). In this paper, a low computational algorithm is proposed to estimate the NPU interval, and the SNR WALL deterioration phenomenon with estimated noise power is analyzed theoretically. The SNR WALL deterioration theorems are obtained. In addition, a new ED algorithm based on modified threshold is proposed to eliminate SNR WALL deterioration. Numerical simulation results show that the proposed algorithm can estimate accurately the NPU interval, and verify the correctness of the SNR WALL deterioration theorems. Furthermore, both analytical and simulation results show that the proposed ED under NPU outperforms the ED of Robust Statistics Approach (RSA). The SNR WALL deterioration can be reduced effectively, hence improving the robustness of detection.
谢显中, 胡小峰, 马彬. 噪声功率不确定性区间估计和降低SNR WALL恶化的能量检测算法[J]. 电子与信息学报, 2014, 36(2): 364-370.
Xie Xian-Zhong, Hu Xiao-Feng, Ma Bin. Estimation of Noise Power Uncertainty Interval and Energy Detector with Lowering SNR WALL Deterioration. , 2014, 36(2): 364-370.
2014, Vol. 36 
