基于蝙蝠算法的成对载波多址信号盲分离算法
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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.
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.
引文
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[13]Gandomi A H,Yang X S,Alavi A H,et al.Bat algorithm for constrained optimization tasks[J].Neural Computing&Applications,2013,22(6):1239-1255.
[14]尹洪伟,李国林,路翠华.改进的复值快速独立分量分析算法[J].探测与控制学报,2015,37(5):22-25+30.
[15]谢健,周永权,陈欢.一种基于Lévy飞行轨迹的蝙蝠算法[J].模式识别与人工智能,2013,26(9):829-837.
[2]郭一鸣.PCMA信号盲解调关键技术研究[D].郑州:信息工程大学,2015
[3]万坚,许华,朱中梁.基于独立分量分析的成对载波多址分离新算法[J].通信学报,2006(8):41-44.
[4]EMAD M,GRAIS,ERDOGAN H.S Grais E M,Erdogan H.Single channel speech-music separation using matching pursuit and spectral masks[C]//IEEE 19th Signal Processing and Communications Application Conference.IEEE,2011,323-326.
[5]毕琰,钱良.基于PSP及Kalman滤波的PCMA信号盲分离算法[J].信息技术,2013,37(7):20-23.
[6]丁良辉,李天赐,杨峰,等.基于编码辅助和过采样的成对载波多址信号盲分离算法[J].上海交通大学学报,2015,49(10):1527-1533.
[7]杨勇,张冬玲,彭华,等.利用Gibbs采样的同频混合信号单通道盲分离[J].通信学报,2015,36(4):160-166.
[8]杜健,巩克现,葛临东.基于单路定时准确的低复杂度成对载波复用多址信号盲分离算法[J].电子与信息学报,2014,36(8):1872-1877.
[9]叶飞,张天骐,廖畅,等.基于独立分量分析的PCMA信号盲分离算法[J].电视技术,2015,39(17):99-103.
[10]郭一鸣.PCMA信号盲解调关键技术研究[D].郑州:解放军信息工程大学,2015.
[11]Yang X S.A new metaheuristic bat-inspired algorithm[J].Computer Knowledge&Technology,2010,284:65-74.
[12]Yang X.Bat algorithm for multi-objectiveoptimization[J].International Journal of Bio-Inspired Computation,2011,3(5):267-274(8).
[13]Gandomi A H,Yang X S,Alavi A H,et al.Bat algorithm for constrained optimization tasks[J].Neural Computing&Applications,2013,22(6):1239-1255.
[14]尹洪伟,李国林,路翠华.改进的复值快速独立分量分析算法[J].探测与控制学报,2015,37(5):22-25+30.
[15]谢健,周永权,陈欢.一种基于Lévy飞行轨迹的蝙蝠算法[J].模式识别与人工智能,2013,26(9):829-837.