Exploiting multipath for blind source separation with sensor arrays
Exploiting multipath for blind source separation with sensor arrays
复制标题
利用多路径通过传感器阵列实现盲源分离
DOI：
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发表时间：
2011
期刊：
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通讯作者：
A. Farina
中科院分区：
文献类型：
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作者：
G. Fabrizio;A. Farina
针对传感器阵列接收到的窄带信源的卷积混合信号，研究了空间处理的盲源分离问题。多径传播是由时变的双扩展有限脉冲响应信道引起的，其中信号模式是多普勒频移的，并且是由漫反射而不是镜面反射引起的。本文介绍了一种新的盲空间滤波技术，称为广义多径信号估计(GEMS)算法，它利用多径信号作为信号分离的基础，对信号的空间特征和源波形特性作了较为温和的假设。使用实验高频天线阵系统获得的真实数据，将GEMS的性能与基准信号复制过程进行了比较。
The problem of blind source separation by spatial processing is considered for convolutive mixtures of narrowband sources received by a sensor array. Multipath propagation is due to time-varying doubly-spread finite impulse response channels where the signal modes are Doppler shifted and arise from diffuse scattering rather than specular reflection. This paper introduces a new blind spatial filtering technique, referred to as the Generalized Estimation of Multipath Signals (GEMS) algorithm, which exploits multipath as the basis for signal separation under relatively mild assumptions regarding the signal spatial signatures and source waveform properties. The performance of GEMS is compared with a benchmark signal-copy procedure using real data acquired by an experimental high frequency (HF) antenna array system.1