HIGHER-ORDER STATISTICS AND IDENTIFICATION OF NON-LINEAR PROCESSES IN SPACE PLASMAS
-
摘要: 利用高阶矩统计分析方法对AUREOL－3卫星观测数据进行分析处理,所涉及的信号分别为ELF(＜1kHz)频率范围内的电场扰动Eh(t)和等离子体密度波动δNe/Ne(t)．处理结果表明:利用高阶矩谱分析方法可以很好地识别空间等离子体波-粒相互作用过程中的非线性成分．Abstract: Using the higher-order statistical methods, the physical properties of certainsatallite data were described. The question addressed in this paper is the usefulness of higher-order statistics for identification of the wave-particles interaction inspace plasmas. The signals considered here are respectively ELFfrequency rangeelectrostatic turbulence and fluctuation in electron density measured on the low latitude satellite AUREOL-3 from the ARCAD-3 scientific experiment. The analysisshows that one can well identify the non-linear behaviour in the processes usingsuch method.
-
Key words:
- Higher-order analysis /
- Space plasma /
- Non-linear processes identification
-
-
计量
- 文章访问数: 2691
- HTML全文浏览量: 206
- PDF下载量: 714
-
被引次数:
0(来源:Crossref)
0(来源:其他)
下载:
