摘要
为了实现机载IRST高精度、快速被动定位,针对一般机间数据链对大容量实时图像传输的限制问题,提出了基于激光数据链路的机载IRST被动定位方法。分析了定位原理和激光链路建立、红外图像配准融合、红外目标检测的过程。在研究UKF算法的基础上,考虑到观测方程的非线性和测量噪声的影响,利用UKF方法对目标的状态参数进行估计。仿真实验表明,这种算法得到较好的距离和速度估计精度,而且在提高机载IRST采样频率后,可以进一步提高被动定位精度。
In order to implement high-precision and rapid passive locating of airborne IRST, and considering the limit of ordinary inter-flight data link to large-capacity image transmission, a method for passive locating of airborne IRST was proposed based on laser link. The principle of locating, the process of establishing airborne laser link, the infrared image registration and fusion, and the infrared target detecting and recognition were analyzed. Unscented Kalman Filter （UKF） was studied and was used to estimate the state parameters of the target taking the effect of observation equation＇s nonlinearity and noise into consideration. The simulation result showed that the method can improve the evaluation accuracy of distance and velocity, and can also improve the locating precision with increased airborne IRST sampling frequency.
出处
《电光与控制》
北大核心
2013年第6期40-44,共5页
Electronics Optics & Control
