基于混叠谱估计的多源突发衰落信号镜像恢复

发布时间：2018-01-07 21:47

本文关键词：基于混叠谱估计的多源突发衰落信号镜像恢复　出处：《科技通报》2014年10期 　论文类型：期刊论文

【摘要】：对突发衰落信号的镜像恢复是实现北斗卫星无线电远场伪码载波跟踪的关键。当前采用基于BMP的粒子群欠定盲分离方法实现对突发衰落信号的分离和恢复,当信号由多源信源产生时,无法知道源信号的数目,导致信号恢复效果不好。提出一种混叠矩阵谱估计的多源突发衰落信号镜像恢复算法,采用K-means聚类估计混叠矩阵,设计多源突发衰落信号在时间或频率轴上的紧凑模型,定义整段信号的宽带混叠模糊函数,求解混叠矩阵的特征向量得到信号的谱估计,以此为遍历参数得到扩频码跟踪的最佳聚类数,实现对源信号的准确镜像恢复。仿真实验表明,该算法在卫星无线电远场伪码多源突发衰落信号镜像恢复中精度较高,计算开销较少,稳定性好,在探测导航控制等邻域具有较好应用性。
[Abstract]:The mirror burst fading signal recovery is achieved Beidou satellite radio far field code carrier tracking key. Currently using BMP particle swarm underdetermined blind source separation method for burst fading signal separation and recovery based on when the signal generated by the multi-source source, do not know the number of source signals, resulting in signal recovery effect is not good proposes a mixed matrix spectral estimation of multi-source burst signal fading image recovery algorithm, K-means algorithm is used to estimate the mixing matrix, the design of multi-source burst fading signals in time or frequency on the axis of the compact model, the definition of broadband signal aliasing ambiguity function, eigenvector aliasing matrix to get the signal spectrum estimation thus, code tracking the optimal clustering number for ergodic parameters, realize the accurate image of the source signal recovery. Simulation results show that the algorithm in the far field of multi satellite radio code The image restoration of source burst signal is of high precision, less computational cost, good stability and good applicability in the neighborhood of detection navigation control.

【作者单位】：黄河科技学院信息工程学院;
【基金】：河南省科技厅重点科技攻关项目(132102210081)
【分类号】：TN911.7
【正文快照】： 0引言在现代通信与信息系统中,对多源突发衰落信号的测定和镜像恢复,是实现高保真通信和信号跟踪的关键,多源突发衰落信号表现为信号处理系统中的伪随机码在进行信号动态补偿过程中的一种载波校验特性,多源突发衰落信号的测量模型在大量的实际信号测量系统中应用广泛,通过对这

【参考文献】