计算机工程2011，Vol.37Issue(18)：97-99,3.
非高斯噪声下多循环平稳特征频谱检测
Spectrum Detection of Multiple Cyclostationary Characteristics Under Non-Gaussian Noise
摘要
Abstract
This paper researches the primary user's detection based on cyclostationary characteristic in non-Gaussian noise. Combining with . Multiple cyclostationary characteristic of primary user, through summation criteria and maximum criterion, spectral correlation functions of multiple cyclic frequencies are integrated to improve the reliability of detection results. On the basis of equal weighted sum criteria, according to different levels of cyclostationary characteristic on different cyclic frequencies, a weighted summation criterion based on spectral correlation function is', proposed. Simulation results show that the cooperation of multiple cyclic frequencies can improve detection results; the weighted summation criterion has better detection performance than equal weighted summation criteria.关键词
认知无线电/高斯混合模型/多循环平稳特征/求和准则/最大准则Key words
cognitive radio/ Gaussian Mixture Model(GMM)/ multiple cyclostationary characteristics/ summation criterion/ maximum criterion分类
信息技术与安全科学引用本文复制引用
包亚萍,蒋利,朱晓梅..非高斯噪声下多循环平稳特征频谱检测[J].计算机工程,2011,37(18):97-99,3.基金项目
江苏省教育厅高校自然科学基金资助项目(08KJB510015) （08KJB510015）
