基于施密特正交变换的快速盲频谱感知算法Fast and blind spectrum sensing method based on Gram-Schmidt orthogonalization
包志强,马艳,卢光跃
摘要(Abstract)：
为了解决噪声不确定环境下的盲频谱感知问题,提出一种基于接收信号格拉姆-施密特正交变换的快速盲频谱感知算法(Blind sensing method based on the Gram-Schmidt Orthogonalization,BS-GSO)。先通过多天线接收获得的采样矩阵来构造统计协方差矩阵,利用似然比准则和施密特正交变换构造检验统计量并获得判决表达式,再应用中心极限定理和泰勒展开式推导出非渐进的判决门限。蒙特卡洛实验仿真结果表明,BS-GSO算法有效、稳健,且计算复杂度较低。
关键词(KeyWords)： 认知无线电;盲频谱感知;格拉姆-施密特正交变换
基金项目(Foundation): 国家自然科学基金资助项目(61271276);; 陕西省自然科学基金资助项目(2012JQ8011)
作者(Author): 包志强,马艳,卢光跃
DOI: 10.13682/j.issn.2095-6533.2016.02.004
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