“米”字型PIR构建正方形模型的目标轨迹预推技术

Technology of target trajectory extrapolation with M word PIR array square model

针对单感知平台动静热释电红外传感器(PIR)阵列在目标轨迹测量方面的局限性,提出了利用4感知平台的"米"字型PIR阵列构成正方形感知模型实现对目标运动轨迹的测量。在该研究中,单感知平台由8个PIR传感器组成"米"字型阵列,每个传感器间隔45°均匀分布;将4感知平台的"米"字型阵列规则排布建立封闭的正方形感知模型,通过多传感器自适应加权融合算法将4感知平台的32路传感器角度信息进行融合,再结合自身坐标信息及检测目标时间信息通过轨迹预推算法推导出准确的运动轨迹,同时得到目标的运动速度。实验结果表明,该方法有效弥补了单感知平台PIR阵列功能上只能实现单一定位且精度低的不足,实现了目标运动轨迹的准确测量以及时序上目标位置的预判,具有较大的理论意义与实际应用价值。

Aiming at the limitations of single pyroelectric infrared sensor(PIR) array in the target trajectory measurement, the method of using four PIR array sensing platforms to form the square perceptive model was put forward to measure the target trajectory. In this study, eight PIR probes were used to form M word array, with each probe evenly distributed at 45 degrees intervals. Four PIR array sensing platforms were arranged at the four vertices of the square model, and 32 senor angle data fusion through the adaptive weighted fusion algorithm of multi-sonsor data. At last, four sensing platforms used the coordinate and time information of the detected target to calculate the target ′ s motion trajectory and obtained the target′ s speed. The experimental results show that this method can effectively make up for the deficiency of the function which can only realize positioning and low accuracy of single PIR array,and realize the accurate measurement of motion trajectory and the prediction of the target position in time sequence. So, this method has great theoretical significance and practical application value.