摘要
C语言广泛应用于测控系统的监控及数据处理,测量数据作为测控系统中的关键指标,对系统起着重要的作用。在受测控系统无线信道特征、多路径传输和噪声干扰等因素的影响,造成测量数据出现不连续和非法数据。针对数据出现的跳点、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,提高测量数据的连续性、有效性和可靠性。通过对数据仿真分析和飞行试验,验证了该方法对数据修正的可行性和有效性。
C language is widely used in monitoring and data processing of TT＆C system. The measurement data is considered as a key specification in TT＆C system, it plays an important role in the system. Discontinuous and illegal data exists in measurement data because of the influence of factors such as wireless channel characteristics, multipath transmission and noise interference in TT＆C system. Aiming at the jump point, break point and spike existing in data, the data correction technique based on 3 6 criteria integrated with Kalman filter policy is proposed. This technique can effectively minimize the jump point, reconstruct the break point and smooth the spike, in order to improve the continuity, effectiveness and reliability of measurement data. The analysis and simulation of data and the flight test prove the practicability and availability of this method for data correction.
出处
《计算机与网络》
2013年第15期48-50,共3页
Computer & Network
关键词
均方差
卡尔曼滤波
3б准则
mean-square deviation
Kalman filter
3 6 criteria
