针对主被动传感器异地配置情况,利用视线测量转换过程,对主被动联合探测的数据关联算法进行了改进:首先,计算视线垂足至主动传感器的距离,以方位测量与该距离之差(测量差)构造新的统计量,通过视线间距以及测量差两个统计量检验初选出候选关联集;接着,主被动视线交叉将不完整的被动测量补充为完整测量,用精度加权法实现多角度测量之间的融合,得到候选集的定位点估计,计算各定位点与目标的关联概率;然后,以视线间距和测量差构造测量距离,利用测量距离之和表征关联集内部各视线的紧密度,给出视线关联度;最后,用视线关联度修正关联概率,最大值搜索正确关联组合。仿真实验结果验证了算法的有效性。

For the heterogeneous sensors at different sites, a modified association algorithm based on line of sight (LOS) measurement was presented. Firstly, the distance of the LOS drop point to the active sensor was calculated, and the difference between the orientation measurement and this distance was defined as one of the statistic test variables, together with the LOS space, could be used to choose the candidate associations. Then, the compensatory data for the passive sensors measurement was gotten based on the crossed LOS, and the precision weight method was taken to estimate the location pointed by the LOS in the gather, the association probabilities between the targets and the locations was calculated. Finally, the LOS relationship degrees were appointed,whose variable was the summation of the measurements' distance (evolved from the LOS space and the difference), the probabilities of the candidate gather was modified, and the most reasonable combination by the maximum search was founded. Simulation results showed that the new algorithm was effective.

TN911. 72

国家自然科学青年基金资助项目(61501505)