组网雷达点迹信息融合抗假目标干扰方法

对欺骗式多假目标干扰, 单站雷达由于视角单一, 获取点迹数据有限, 对抗效果不理想. 针对该问题, 提出一种基于集中式组网雷达系统的真假目标识别方法. 该方法采用空间相关处理技术进行点迹融合, 并联合利用真目标的位置信息及速度信息. 对通过最近邻关联得到的关联量测序列, 首先进行基于位置信息的点迹融合, 然后求取目标实际速度矢量, 并利用速度信息进行融合, 再次剔除假目标. 在保证真目标识别概率的基础上, 进一步降低了组网雷达被欺骗概率.

Measurement Fusion Method against False-Target Jamming for Radar Network

In the presence of multi-false-target deception jamming, a single station radar has no perfect performance in anti-jamming with its angle of view single and the limitation of the number of measured dots. For this problem, a true or false target recognition method is proposed for concentrative radar network in this paper, which fuses the measurements by spatial-correlation processing technique based on the location and velocity of the measurements. For the association sequence of measurements, measurements fusion based on location is used first. Then, the velocity vector is calculated and applied to fusion, so as to eliminate false-target from the result of fusion based on location. The deceived probability of radar network is made lower without the decrease of recognition probability of the true target.