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为降低时隙开销,提出一种增量式协作感知算法.在时隙1,若非授权用户获得的能量检测值大于上门限则全局判定授权用户存在,若小于检测门限则全局判定授权用户不存在;否则,进一步在时隙2与协作用户采用"与"融合规则协作感知.在满足目标虚警概率与检测概率的前提下,以最小化时隙开销为目标函数优化门限.模拟结果表明,与传统算法相比,当目标虚警概率与检测概率设为10%与90%且信噪比为10 dB时,增量算法时隙开销可降低90%左右而感知性能仅降低3%左右.
Abstract：To decrease the time slot consumption,an incremental cooperative spectrum sensing algorithm is proposed.In the first time slot,if the energy received by the secondary user is more than the upper threshold,the global judgment is that the primary user exists.And if it is less than the detection threshold,the global judgment is that the primary user doesn′t exist.Otherwise,the secondary user and the cooperative user will sense the spectrum cooperatively with the "or" fusion rule.The object function is built for minimizing the time slot consumption with the limit of the detection probability and the false one to gain the optimal thresholds.Simulation results show that compared with the traditional algorithm the incremental one decreases about 90% of the time slot consumption but only about 3% of the sensing performance with the target detection probability of 10%,the false probability of 90% and the signal-to-noise ratio of 10 dB.
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基本信息:
中图分类号:TN925
引用信息:
[1]张晓格,张士兵,邱恭安.降低时隙开销的增量式协作频谱感知[J],2012,11(04):1-6.
基金信息:
国家自然科学基金项目(61071086);; 江苏省高校自然科学基金项目(11KJB510021);; 南通市应用研究计划项目(BK2011064)