基于实测数据的机动目标探测性能评估研究

Evaluation of maneuvering target detection performance based on measured data

基于TTP准则的静目标鉴别性能理论模型评估方法具有环境适应性强、性能预测准确、系统参数优化便利等优点,但此方法对动目标探测性能评估的准确性还需展开进一步研究。为了准确评估动目标的探测性能,文中搭建了靶标运动系统、红外目标生成系统和目标采集及储存系统;采用人眼阈值判断实验方法实现不同成像作用距离、不同运动速度、不同靶标尺寸下的目标探测性能评估,获得了目标探测概率性能曲线;结合NVThermIP现场性能评估理论模型,在系统性能参数输入一致时计算目标探测性能。实验结果表明:NVThermIP现场性能预测模型对于动目标探测性能的预测存在一定偏差,在实验测量的目标运动速率范围内,随着目标运动速率的提升,目标更易被探测。实验结果为动目标性能评估理论模型的修正提供了数据支持。

The theoretical model evaluation method of static target discrimination performance based on TTP criterion has advantages of strong environmental adaptability,accurate performance prediction and convenient system parameter optimization,but the accuracy of this method in evaluation of moving target detection performance needs to be further studied.In order to accurately evaluate the detection performance of moving targets,the target motion system,infrared target generation system,target acquisition and storage system were established.The experimental method of human eye threshold judgment was used to evaluate target detection performance at different imaging distances,different motion velocities,and different target sizes,and the target detection probability curve was obtained.According to the NVThermIP theoretical model for field perform-ance evaluation,the target detection performance was calculated when the input of system performance parameters was consistent.The experimental results show that the NVThermIP evaluation model has certain deviation for detection performance prediction of moving targets.In the range of target motion rates measured by experiment,the target is easier to detect with the increase of the target motion rate.Research results provide data support for the revision of theoretical model of performance evaluation of moving targets.