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。

Local optimal bearing track correlation based on transform domain

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 stability and less time and it provides a better solution to multi-sensor bearings on the same platform.