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Variable forgetting factor recursive least square algorithm applied to multi-station passive location

机译:变量遗忘因子递推最小二乘算法在多站点无源定位中的应用

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Study on the technology of direction finding (DF) and localization technology is of vital significance nowadays. For real target, the direction parameter becomes one of the most reliable radiation parameters. This paper proposed a new method of multi-station passive location, which is based on the variable forgetting factor recursive least square algorithm. First, establish the mathematical model of the algorithm for multi-station positioning; secondly, show the mathematical derivation of the algorithm and iteration formula; and then the implementation steps of the algorithm are proposed; finally the simulation comparison with least squares algorithm is discussed. The simulation results demonstrate that, when each measurement error meets with mean 0 and the same variance, this algorithm performs better no matter how the variances of measurement errors are chosen. Moreover, it is much more simplified compared to the least squares in the amount of calculation.
机译:如今,对测向技术和定位技术的研究具有十分重要的意义。对于真实目标,方向参数成为最可靠的辐射参数之一。提出了一种基于变量遗忘因子递归最小二乘算法的多站点无源定位新方法。首先,建立多站定位算法的数学模型;其次,给出了算法的数学推导和迭代公式。提出了该算法的实现步骤。最后讨论了与最小二乘算法的仿真比较。仿真结果表明,当每个测量误差均值为0且方差相同时,无论如何选择测量误差方差,该算法都能取得较好的效果。而且,与最小二乘方相比,它的计算量要简化得多。

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