基于速度分区与多信息利用的数据关联算法

于晓涵; 黄勇; 周伟; 柳超

doi:doi:10.3969/j.issn.1671-637x.2016.09.006

电光与控制, 2016, 23 (9): 29, 网络出版: 2021-01-26

基于速度分区与多信息利用的数据关联算法

A Data Association Algorithm Based on Speed Partition and Multiple Information Utilization

论文大纲

于晓涵黄勇周伟柳超

作者单位

海军航空工程学院，山东烟台264001

海面目标数据关联速度分区多特征信息 sea surface target data association speed partition multi-feature information

摘要

针对海面目标密集且类型多样、杂波虚警点多导致跟踪过程中错误关联率高的问题，提出一种基于速度分区与多信息利用的海面目标关联算法。该算法首先将所关心的目标按其速度大小分成3类，分别对应不同的速度区间; 在每个速度区间内，设置不同的距离和速度波门，并结合目标的形状大小、幅度、紧凑程度等特征信息分别采取不同的关联规则，然后对海面目标航迹进行滤波处理; 实测数据处理结果表明，该算法能够获得良好的跟踪效果。

Abstract

The sea surface targets are densely located and have diverse types, and the large amount of clutter false alarm points may cause high error association rate in tracking processing. In order to solve this problem, a sea surface targets association algorithm based on speed partition and multiple information utilization is proposed. First, the targets are divided into three categories according to their speed, respectively corresponding to different speed ranges. In each speed range, the corresponding range gate, speed gate and association rules are set up, where different association rules are adopted based on the feature information of targets, such as shape, size, amplitude and compact degree, etc. Then, the sea surface target track is filtered. The processing results of collected data show that the algorithm can obtain good tracking effect.

参考文献

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于晓涵, 黄勇, 周伟, 柳超. 基于速度分区与多信息利用的数据关联算法[J]. 电光与控制, 2016, 23(9): 29. YU Xiao-han, HUANG Yong, ZHOU Wei, LIU Chao. A Data Association Algorithm Based on Speed Partition and Multiple Information Utilization[J]. Electronics Optics & Control, 2016, 23(9): 29.

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