考虑多目标随机新生和消亡下存在杂波和传感器漏检所导致的量测源不确定性,针对纯方位跟踪(BOT)问题,提出一种多距离假设伯努利滤波器.首先,构造笛卡尔坐标系下的多距离假设纯方位观测模型;然后,根据该测量模型详细推导并提出高斯混合多距离假设势平衡多目标多伯努利滤波器;最后,提出一种自适应纯方位新生多伯努利密度的新方法.仿真结果验证了所提出算法的有效性. Considering the uncertainty of measurement source caused by the presence of clutter and sensor miss detection under multi-objective stochastic new birth and death, a multi-distance assumed Bernoulli filter is proposed for purely directional tracking (BOT) problem.Firstly, Multi-distance hypothetical purely azimuth observational model under Karl’s coordinate system. Then, the Gaussian mixture multi-distance hypothesis potential balance multi-objective multi-Bernoulli filter is deduced and proposed according to the measurement model. Finally, an adaptive purely azimuth newborn The new method of Bernoulli density.The simulation results verify the effectiveness of the proposed algorithm.