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引用本文：

张晓格,张士兵,邱恭安.频谱检测门限与n-out-of-K融合规则的联合优化[J].电讯技术，2012，52（11）： - . [点击复制]
ZHANG Xiao-ge,ZHANG Shi-bing,QIU Gong-an.Joint optimization of spectrum detection threshold and the n-out-of-K fusion rule[J].，2012，52（11）： - . [点击复制]

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频谱检测门限与n-out-of-K融合规则的联合优化
张晓格,张士兵,邱恭安
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(南通大学电子信息学院，江苏南通 226019)

摘要:

为了减少计算复杂度，提出联合优化检测门限λ和n-out-of-K融合规则的算法。以λ和n为参数建立目标函数，并将参数以二进制形式表示，从而把算法转化为组合优化问题。接着，采用基于样值修改的互熵优化方法渐次逼近最优的参数。仿真表明, 该算法在获得与已有算法几乎相当的总错误率情况下，可有效降低平均搜索次数，且随着K 的增加搜索次数增加更平缓。

关键词: 认知无线电协作感知频谱检测融合规则虚警率漏检率互熵

DOI：

基金项目:国家自然科学基金资助项目（61071086）；江苏省高校自然科学基金资助项目（11KJB510021）;南通市应用研究计划项目(BK2011064)

Joint optimization of spectrum detection threshold and the n-out-of-K fusion rule

ZHANG Xiao-ge,ZHANG Shi-bing,QIU Gong-an

()

Abstract:

To reduce the computational complexity, an algorithm optimizing the spectrum det ection threshold λ and the n out-of-K fusion rule jointly is pr oposed. A target function is built with the parameters λ and n. By bina ry encoding the parameters, this algorithm is converted to a combinatorial optimiz ation problem. Then, the algorithm gains the near optimal results step by step by use of the modifying samples-based cross entropy method. Simulations show th e proposed algorithm decreases the average search times effectively with almost the same total error rates as that of the existing one and the search times of t he proposed algorithm increase more evenly than that of the existing one.

Key words: cognitive radio cooperative sensing spectrum detection fusion rule missed-detection probability false-alarm probability cross entropy