基于蝙蝠算法的成对载波多址信号盲分离算法  

Blind Separation Algorithm of PCMA Signal Based on Bat Algorithm

作　　者：彭闯 杨晓静 蔡晓霞 PENG Chuang;YANG Xiaojing;CAI Xiaoxia(Electronic Countermeasure Institute,National University of Defense Technology,Hefei 230037,China)

机构地区：[1]国防科技大学电子对抗学院,安徽合肥230037

出　　处：《探测与控制学报》2018年第4期80-85,共6页Journal of Detection & Control

基　　金：国家自然科学基金项目资助(61201379)

摘　　要：针对现有PCMA信号盲分离算法存在应用范围受限、复杂度高等问题,提出了基于蝙蝠算法的成对载波多址信号盲分离算法。该算法首先对接收PCMA信号进行载波频率估计并对信号进行正交分解,然后处理得到两路基带混合信号,最后利用独立性判据"峭度"作为适应度函数,使用蝙蝠算法实现了源基带信号分离。该算法在不具备协作通信方发送的信息序列的先验条件下,能够实现对PCMA信号的盲分离。仿真实验表明,该算法具有良好的分离性能且复杂度低并对频率偏移不敏感的特点。Aiming at the problem that the existing PCMA signal blind separation algorithm is of application scope limitation and high complexity,a Paired Carrier Multiple Access blind separation algorithm based on Bat Algorithm was proposed.Firstly,the carrier frequency of the PCMA signal was estimated and the signal was orthogonal decomposed.Then,two baseband mixed signals were obtained by processing.At last,the dependence criterion'kurtosis'was used as the fitness function.The separation of baseband signals was accomplished by using the bat algorithm.The algorithm achieved blind separation of PCMA signal without prior condition of the information sequence sent by cooperative communication.The simulation results showed that the algorithm had the advantages of good separation performance,low complexity and insensitivity to frequency offset.

关 键 词：成对载波多址 盲分离 峭度 蝙蝠算法 

分 类 号：TN911[电子电信—通信与信息系统]