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Enhancing direction-finding accuracy for shortwave fixed stations

机译：提高短波固定电台的测向精度

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In this paper, we improve the direction finding accuracy for shortwave fixed stations located in imperfect environment. A correction method of direction finding data is proposed based on least square algorithm. Firstly, we establish the mathematical model of the relationship between real azimuthal angles and errors according to the statistical features of direction finding data. Then we design model parameters and estimate revised values with regard to azimuthal angles. When processing different frequency signals transmitted from the same location, we optimize the weights to derive an optimal azimuthal angle in each direction. The experimental results show that root-mean-square error decreases 0.7386 degree after correction, and our method improves the direction finding accuracy significantly without changing the original direction finding devices.
机译：在本文中，我们提高了位于不完善环境中的短波固定站的测向精度。提出了一种基于最小二乘算法的测向数据校正方法。首先，根据测向数据的统计特征，建立了实际方位角与误差之间关系的数学模型。然后，我们设计模型参数并估计关于方位角的修正值。当处理从同一位置发送的不同频率信号时，我们优化权重以得出每个方向上的最佳方位角。实验结果表明，校正后，均方根误差降低了0.7386度，并且在不改变原始测向装置的情况下，该方法显着提高了测向精度。

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