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Space-time adaptive principle component analysis for time-delay estimation

机译:时滞估计时滞的时滞估计的时延自适应原理分析

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In this work we present a blind approach based on space-time adaptive principle component analysis using an antenna array and a compression method based on canonical components in order to mitigate multipath for Global Navigation Satellite Systems (GNSS). First, pre-processing algorithms are used to separate (decorrelate) the different sources in the compressed space-time eigenspace and then the time-delay estimation is performed with a simple interpolation scheme in the compressed time domain. The proposed algorithm is capable of separating highly correlated and even coherent signals and approaches the respective Cramer-Rao lower bound (CRLB) for time-delay estimation in the compressed time domain.
机译:在这项工作中,我们使用天线阵列的时空自适应原理分量分析以及基于规范组件的压缩方法来提出一种盲方法,以减轻全球导航卫星系统(GNSS)的多径。首先,预处理算法用于分离(去相关)在压缩空间Eigenspace中的不同源,然后在压缩时域中用简单的插值方案执行时间延迟估计。所提出的算法能够分离高度相关性甚至相干信号,并接近压缩时域中的时间延迟估计的相应的Cramer-Rao下限(CRLB)。

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