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一种基于单矢量传感器的改进型空中目标定位方法。

An Improved Aerial Target Localization Method with a Single Vector Sensor.

作者信息

Zhao Anbang, Bi Xuejie, Hui Juan, Zeng Caigao, Ma Lin

机构信息

College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China.

Science and Technology Underwater Acoustic Laboratory, Harbin Engineering University, Harbin 150001, China.

出版信息

Sensors (Basel). 2017 Nov 14;17(11):2619. doi: 10.3390/s17112619.

Abstract

This paper focuses on the problems encountered in the actual data processing with the use of the existing aerial target localization methods, analyzes the causes of the problems, and proposes an improved algorithm. Through the processing of the sea experiment data, it is found that the existing algorithms have higher requirements for the accuracy of the angle estimation. The improved algorithm reduces the requirements of the angle estimation accuracy and obtains the robust estimation results. The closest distance matching estimation algorithm and the horizontal distance estimation compensation algorithm are proposed. The smoothing effect of the data after being post-processed by using the forward and backward two-direction double-filtering method has been improved, thus the initial stage data can be filtered, so that the filtering results retain more useful information. In this paper, the aerial target height measurement methods are studied, the estimation results of the aerial target are given, so as to realize the three-dimensional localization of the aerial target and increase the understanding of the underwater platform to the aerial target, so that the underwater platform has better mobility and concealment.

摘要

本文聚焦于使用现有空中目标定位方法在实际数据处理中遇到的问题,分析问题产生的原因,并提出一种改进算法。通过对海试数据的处理发现,现有算法对角估计精度要求较高。改进算法降低了对角估计精度的要求,并获得了稳健的估计结果。提出了最近距离匹配估计算法和水平距离估计补偿算法。采用前后双向双滤波方法对数据进行后处理后的平滑效果得到了改善,从而可以对初始阶段的数据进行滤波,使滤波结果保留更多有用信息。本文研究了空中目标高度测量方法,给出了空中目标的估计结果,以实现空中目标的三维定位,并增强水下平台对空中目标的了解,使水下平台具有更好的机动性和隐蔽性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7d2/5712829/324586e5f0f9/sensors-17-02619-g001.jpg

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