基于混合加权的双门限能量协作检测算法研究

Double Threshold Energy Cooperative Detection Algorithm Based on Mixed-Weighted

研究无线电系统能量优化问题,由于路径损耗导致检测到的信号能量值减小,信号干扰增大,门限值减小,从而使双门限能量协作检测算法的检测概率降低。针对此问题提出混合自适应加权双门限检测算法。首先利用两个门限值将认知用户检测到的能量值划分为不同的区域,然后对位于两个门限值之间的认知用户检测能量值引入信噪比权重因子和距离权重因子进行混合加权,依此来自适应调整其双门限权值,以减小能量损耗较大的信号对门限值的影响,最后融合中心采用"或"准则做出最终的检测结果。仿真结果表明混合自适应加权双门限检测算法比传统等权值的双门限能量协作检测算法具有更高的检测概率,使通信系统能量检测准确性大大提高。

As the detected signal energy value decreases, the signal interference increases and the threshold de- creases due to path loss in cognitive radio systems, so that the detection probability of double threshold energy cooper- ative detection algorithm decrease. To solve this problem, double threshold energy cooperative detection algorithm based on mixed adaptive weighted was presented. The data detected by the cognitive users were divided into different areas according to the two thresholds. Then the data were adaptive weighted in fusion center, in which the SNR weight factor and distance weight factor were introduced to adjust the weight of double threshold to reduce the impact of threshold caused by energy loss. Finally, the fusion center adopted ＂ or＂ rule to make the final decision results. The simulation results show that double threshold energy cooperative detection algorithm based on mixed adaptive weighted algorithm has the better detection probability compared with the tradition double threshold energy cooperation detection algorithm, furthermore the detection probability can be improved with the data when the two thresholds increasing.