【作者】 夏斌；

【Author】 Xia Bin1,2 1) Shanghai Jiao Tong University,Shanghai,200240 2) Unit 63880 of PLA, Luoyang 471003

【机构】 上海交通大学； 六三八九三部队；

【摘要】 针对在短波天波信道中受电离层快衰落影响的短波天波信号场强数据处理问题,本文提出采用GM(1,1)模型粗大误差判别算法,剔除由电离层快衰落影响而突变的数据,提高统计理论中值法处理的精度。在Matlab中对短波天波场强典型数据进行处理,结果表明GM(1,1)粗大误差判别算法能很好地剔除受电离层快衰落影响而突变的数据,具有较好的判别精度,提高短波天波场强中值法处理的精度,并在实践中得到应用。更多还原

【Abstract】 Aimed at the ionosphere fast fading may greatly influence the measurement of HF air field intensity. This paper proposed to use the Distinguishing Algorithm of Gross Error based on GM(1,1) Model to deal with the intensity of HF signal, eliminate the break data influenced by the ionosphere fast fading, and to improve the precision of the middle method in statistical theory. Using MATLAB to process the identical data of HF air filed intensity. The result accurately eliminates the break data influenced by the ionosphere fast fading, and improves the precision of the middle method in statistical theory. This algorithm is used in practice.更多还原