CAJ | 학술논문

针对单节点能量检测法存在的“隐藏终端”和检测准确性低以及协作频谱感知算法大多采用等权重进行数据融合，未考虑不同节点所处的通信环境对检测性能的影响等问题，提出一种基于改进型能量检测的自适应加权协作频谱感知算法。该算法通过对单节点能量检测方法的改进，在单节点检测错误概率最小的条件下，导出了信噪比与判决门限的关系式，利用二分法求得不同信噪比下的动态门限值，得到相应的虚警概率和检测概率，以虚警概率和检测概率的函数作为加权因子进行数据融合。仿真结果表明，所提算法使协作感知系统在低信噪比条件下也能获得可靠的检测性能。
침대단절점능량검측법존재적“은장종단”화검측준학성저이급협작빈보감지산법대다채용등권중진행수거융합，미고필불동절점소처적통신배경대검측성능적영향등문제，제출일충기우개진형능량검측적자괄응가권협작빈보감지산법。해산법통과대단절점능량검측방법적개진，재단절점검측착오개솔최소적조건하，도출료신조비여판결문한적관계식，이용이분법구득불동신조비하적동태문한치，득도상응적허경개솔화검측개솔，이허경개솔화검측개솔적함수작위가권인자진행수거융합。방진결과표명，소제산법사협작감지계통재저신조비조건하야능획득가고적검측성능。
The single-node energy detection has the drawbacks of low detection accuracy and“hidden terminal”while coopera-tive sensing algorithms usually use equivalent weights for data fusion instead of considering the influence to the detection perfor-mance resulting from communication environment of different nodes. In order to solve the above problems, this paper proposes an adaptive weighted cooperative spectrum sensing algorithm based on improved energy detection which improves single node energy detection and derives the relationship between Signal-to-Noise Ratio(SNR)and decision threshold under the condition of minimal error probability. This paper adopts dichotomy to get dynamic threshold values and corresponding false probability and detection probability at different SNR. It regards the function of false probability and detection probability as the weighted factor to do data fusion. The simulation results show that the proposed algorithm can achieve reliable detection performance of cooperative sensing system with low SNR.