将对等式结构应用于多传感器目标数据关联,提出了对等结构下系统误差修正航迹关联算法。针对雷达受外界影响造成系统误差的问题,实现时间精同步后,利用对等结构可通信协作的优势在高低精度节点间建立误差修正模型,补偿低精度节点参数误差,并利用灰关联法完成航迹关联。仿真表明:该算法能够对低精度节点的极径、方位角、俯仰角数据进行有效的误差修正,在目标密集、杂波干扰环境中以较高正确率稳定关联。

The peer-to-peer structure is applied to the multi-sensor target data association to propose the system error correction track association algorithm under the peer-to-peer structure. To solve the problem of radar system error caused by external influence,after realizing precise time synchronization, the error correction model between high and low precision nodes is established by using the advantage of peer-to-peer structure communication and cooperation, to compensate the parameter error of low precision nodes, and finally the track correlation is completed by using grey correlation method. Simulation results show that the proposed algorithm can effectively correct the error of the low precision node′s polar diameter, azimuth and pitch angle data, and stabilize the correlation with high accuracy in the environment of dense target and clutter interference.

TN957.52

国防科技卓越青年人才基金(2017-JCJQ-ZQ-003);泰山学者工程专项经费资助课题(No. ts201712072)