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Experimental source separation in the H.F. band (3-30 MHz) : comparison between a blind and a parametric method

机译:高频频段(3-30 MHz)中的实验信号源分离:盲法和参数法之间的比较

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A compact system of direction finding has been developed for the past three years which operates on a set of seven collocated H.F. active antennas. It has been shown that the estimation of the direction of arrival can be efficient as the diversity of their spatial responses replaces the space diversity of a classical array. That technique implies however a particular computation of the Music algorithm, noting that such an array is heterogeneous. A significant number of experiments, which involved broadcast transmitters more than 700 kms far from the receiving site, validated this concept. Further on, a source separation of the H.F. multipaths is investigated, aiming to reduce the amplitude fading and to improve the bit error rate in a digital transmission. The paper proposes a comparison of two possible techniques: a classical spatial filtering (least mean squares filter) or a blind algorithm resorting to second order statistics.
机译:在过去的三年中,已经开发了一种紧凑的测向系统,该系统可以在一组七个并置的高频有源天线上工作。已经表明,由于它们的空间响应的多样性取代了经典阵列的空间多样性,因此估计到达方向可能是有效的。但是,该技术意味着对Music算法进行了特定的计算,并指出这种数组是异构的。大量的实验证实了这一概念,该实验涉及距离接收站点700多公里的广播发射机。进一步地,研究了HF多径的源分离,目的是减少幅度衰落并提高数字传输中的误码率。本文提出了两种可能技术的比较:经典空间滤波(最小均方滤波器)或依靠二阶统计量的盲算法。

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