目前,有关被动定位算法的研究多是在测量信息连续的情况下展开的,对于测量信息间断情况下的滤波鲜有涉及。针对该问题,以反辐射无人机为研究对象,提出一种基于卡尔曼滤波的间断制导下的被动定位算法,并通过仿真,验证了该方法的有效性。结果表明:提出的新方法能够用于间断制导下的被动定位,且具有一定的定位精度。 At present, most of the researches on passive location algorithms are carried out under the circumstance of continuous measurement information, which is rarely involved in the filtering of intermittent measurement information. In order to solve the problem, the anti-radiation UAV is studied, and a passive guidance algorithm based on Kalman filter is proposed. The simulation results show the effectiveness of the method. The results show that the proposed method can be used for passive positioning under intermittent guidance and has certain positioning accuracy.