基于变换域的局部最优纯方位航迹关联

针对同平台无源传感器纯方位线关联问题，提出了一种基于变换域的局部最优航迹关联算法。该算法采用霍夫变换（ Hough Transform）将方位线映射到参数域等价为点描述，将不同方位线的点描述构建成时间的离散函数，利用时间对准形成具有相同时标的点序列。对关联门限内的目标构建指数判证函数，计算满足关联门限目标的关联矩阵，并确定各航迹关联程度，采用局部寻优方法求取最优关联度的目标作为关联对。实验表明，所提算法具有较好的稳定性及时效性，有效解决了同平台多方位线关联问题。...

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Bibliographic Details
Published in电讯技术 Vol. 56; no. 7; pp. 755 - 759
Main Author 崔雨勇
Format Journal Article
LanguageChinese
Published 中国西南电子技术研究所,成都,610036 2016
Subjects
局部最优
无源探测
纯方位线
航迹关联
霍夫变换
local optimal
航迹关联
纯方位线
无源探测
passive detection
track association
局部最优
霍夫变换
Hough transform
bearing line
Online AccessGet full text
ISSN1001-893X
DOI10.3969/j.issn.1001-893x.2016.07.007

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Summary:针对同平台无源传感器纯方位线关联问题，提出了一种基于变换域的局部最优航迹关联算法。该算法采用霍夫变换（ Hough Transform）将方位线映射到参数域等价为点描述，将不同方位线的点描述构建成时间的离散函数，利用时间对准形成具有相同时标的点序列。对关联门限内的目标构建指数判证函数，计算满足关联门限目标的关联矩阵，并确定各航迹关联程度，采用局部寻优方法求取最优关联度的目标作为关联对。实验表明，所提算法具有较好的稳定性及时效性，有效解决了同平台多方位线关联问题。
Bibliography:passive detection;track association;local optimal;Hough transform;bearing line
For the problem of bearing track correlation of passive sensors on the same platform,a local optimal track association algorithm based on transform domain is proposed. Bearing lines using Hough transform are mapped to equivalent parameter domain points which describe the different orientations in the method. A discrete point sequence with same time is formed by using alignment to build a discrete function of time. The recognition function is constructed and target correlation matrix is computed to meet the associated threshold. Optimal correlation relation is given by using local optimization method. The algorithm is shown better stabili-ty and less time and it provides a better solution to multi-sensor bearings on the same platform.
CUI Yuyong（Southwest China Institute of Electronic Technology, Chengdu 610036, China）
51-1267/TN
ISSN:1001-893X
DOI:10.3969/j.issn.1001-893x.2016.07.007