三角形模型的动态PIR目标轨迹预推算方法

针对热释电被动红外传感器(passive infrared sensor,PIR)阵列构建的四边形模型在目标轨迹测量方面的局限性,提出了利用搭载动态PIR阵列的三感知平台构建三角形感知模型实现对运动目标轨迹测量的方法。单感知平台由4路PIR传感器组成,相邻传感器水平方向间隔90°均匀分布,PIR转速为10°/s。首先将三感知平台布撒为三角形感知模型,然后对三感知平台上PIR传感器在转动过程中感知到的角度信息进行筛选,最后将筛选后的有效信息结合感知平台自身坐标信息和时间信息,根据相应轨迹预推算法推导出准确的目标运动轨迹和运动速度。实验结果表明,该方法突破了四感知平台的几何形状限制,降低了成本,将预推轨迹的精度从1.5 m提高到了1 m,具有较大的理论意义与实际应用价值。

Dynamic Passive Infrared Sensor Target Trajectory Prediction Method for Triangular Model

This study proposes a new method to limit the use of the quadrilateral model,which is applied in pyroelectric passive infrared sensor(PIR)arrays for target trajectory measurement.To this end,a triangle perception model using three sensing platforms equipped with a dynamic PIR array is introduced to measure the moving target trajectory.The single-sensing platform consists of four PIR sensors.The adjacent sensors are evenly spaced in the horizontal direction at 90°,and the PIR speed is 10°/s.Firstly,the three sensing platforms are arranged to form the triangle sensing model,and then,the angle information perceived by the PIR sensors from the three sensing platforms is filtered.Finally,the filtered effective information is combined with the sensing platforms’own coordinate information and time information according to the corresponding trajectory pre-rendering algorithm to derive accurate target motion trajectories and motion velocities.The experimental results show that the method overcomes the geometric constraints of the four sensing platforms,reduces the cost,and improves the accuracy of the prediction trajectory from 1.5 to 1 m.Thus,the proposed method has considerable theoretical significance and practical application value.