受无线信道特征、飞行器姿态、多路径传输和噪声干扰等因素的影响,单站突发定位结果会出现不连续和非法数据。结合数据突发的特点,针对定位数据出现的跳点、断点和毛刺问题,提出了基于3б准则和卡尔曼滤波策略相结合的数据修正技术,该技术可以有效地剔除跳点、重构断点、平滑毛刺,提高定位数据的连续性、有效性和可靠性。论述了单站突发定位体制,阐述了3б准则和卡尔曼滤波修正算法的处理流程,通过对数据仿真分析和飞行试验,验证了该方法对单站突发定位数据修正的可行性和有效性。%Discontinuous and illegal data exists in single-station positioning results due to wireless channel characteristics,aircraft attitude,multipath and noises.In consideration of the features of data burst and jump points,break points and spikes existing in positioning data,a data correction technique based on 3б criteria and Kalman filtering policy is proposed.This technique can effectively minimize jump points,reconstruct break points,smooth spikes,and improve the continuity,effectiveness and reliability of positioning data.The principle of single-station burst positioning is introduced.The 3б criteria and Kalman filtering correction algorithm are explained.Flight test validation shows that this method is feasible and effective for data correction and prediction in single-station burst positioning.
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