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Smart concatenation of correlative direction finding and super-resolution techniques

机译:智能关联相关测向和超分辨率技术

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Super-resolution techniques (such as MUSIC) allow to estimate the DOA of multiple co-channel signals; despite this feature, they are not implemented in Communication Electronic Support Measures systems when a high DF scan speed is required, because of their computational burden, while the Correlative Direction, considerably less complex than the former, is preferred. In this paper we propose a technique to concatenate the Correlative Direction Finding algorithm with the MUSIC algorithm, so that the latter is applied only when really needed. Another major contribution of the paper is a revision of the MUSIC algorithm; a “quality coefficient” (akin to that typically associated to the Correlative DF) relative to the DOA estimates is devised, and employed to obtain a more robust algorithm. Simulation results along with test performed on real data sets corroborate our analysis promoting our approach as a valid alternative to the classical approach.
机译:超分辨率技术(例如MUSIC)允许估算多个同频道信号的DOA;尽管具有此功能,但由于它们的计算量大,因此在需要高DF扫描速度的通信电子支持测量系统中未实现它们,而相对于前者而言复杂性要低得多的“相关方向”是首选。在本文中,我们提出了一种将相关方向查找算法与MUSIC算法连接起来的技术,以便仅在真正需要时才应用后者。本文的另一个主要贡献是对MUSIC算法的修订。设计了相对于DOA估计的“质量系数”(类似于通常与相关DF相关的系数),并用于获得更鲁棒的算法。仿真结果以及对真实数据集进行的测试证实了我们的分析,从而促进了我们的方法成为传统方法的有效替代方法。

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