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Newton Iterated Search Excitation Source Localization Algorithm Based on the Weighted Least Squares Method

机译:基于加权最小二乘法的Newton迭代搜索激励源定位算法

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摘要

With the development of modern science and technology, target localization technology has been widely used in many areas such as the bridge monitoring, warehouse monitoring, environmental testing and other fields. In this paper, we propose the Newton iterated localization algorithm based on the least squares method to study the target recognition algorithm. This article unifies the question of localization accuracy in many kinds of localization technology. Then, the proposed algorithm is verified by using the Newton iterated localization algorithm based on the least squares method. The experimental data shows that it gives a convincible gist and support for the study on location algorithms theoretically. The results indicate that this method is effective in improving the signal source localization accuracy.
机译:随着现代科学技术的发展,目标本地化技术已广泛应用于许多领域,如桥梁监测,仓库监测,环境测试等领域。本文提出了基于最小二乘法研究目标识别算法的牛顿迭代定位算法。本文统一了多种本地化技术的本土化准确性问题。然后,通过使用基于最小二乘法的Newton迭代定位算法来验证所提出的算法。实验数据表明它提供了一种令人抱负的主旨,从理论上提供了对位置算法的研究。结果表明该方法在提高信号源定位精度方面是有效的。

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