| 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 |
