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作 者:刘春玲[1] 范传良 张瑾[1] LIU Chunling;FAN Chuanliang;ZHANG Jin(College of Information Engineering,Dalian University,Dalian 116622,China)
出 处:《无线电工程》2022年第9期1546-1552,共7页Radio Engineering
基 金:辽宁省教育厅面上基金项目。
摘 要:针对迭代压缩滤波算法的停止准则对不同强度噪声适应能力差以及迭代次数高的问题,提出了一种基于噪声估计的相邻信道迭代压缩滤波(Iterative Compression Filtering for Adjacent Channels Based on Noise Estimation,ICFAC-NE)算法。根据信号占用相邻信道的频谱特性,计算出相邻信道的相关系数,根据相关系数判断相邻信道的占用情况,使用正交投影矩阵消除已检测信道分量,并基于噪声估计改善停止准则。理论推导和仿真结果表明,算法在未知噪声强度和稀疏度的情况下具有更优的噪声适应能力和更少的迭代次数,提高了检测成功率。To address the weak adaptability to different intensities of noise and high number of iterations of the stop criterion of iterative compression filtering algorithm,an adjacent channel iterative compression filtering algorithm based on noise estimation is proposed.According to the spectrum characteristics of the adjacent channels occupied by the signal,the correlation coefficients of the adjacent channels are calculated,based on which the occupation status of the adjacent channels is determined.The orthogonal projection matrix is used to eliminate the detected channel components,and the stop criterion is improved based on noise estimation.The theoretical derivation and simulation result show that the algorithm features better noise adaptability and fewer iterations with unknown noise intensity and sparsity,and improves the detection success rate.
关 键 词:相邻信道 频谱感知 压缩感知 噪声估计 正交投影
分 类 号:TN911[电子电信—通信与信息系统]
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