This paper discusses various methods of test of nonlinearity of time series. Real-life sea clutter data are tested with the IAAFT method combined with redundancy.
讨论了时间序列的几种非线性检测方法，将代理数据产生方法中的IAAFT方法与冗余方法结合起来，对实测海杂波数据进行非线性检测。
All the data used in analysis and process is collected in different time. The result shows that sea clutter is slow time variant and can be corrected by adaptive processing.
本文对海杂波的各种分析、处理都采用了不同时间的数据进行实验，结果表明海杂波的确是时变的，但是变化较缓慢，可以通过在线自适应调整进行解决。
Through analyzing the real full-polarization data, the polarization characteristic of sea clutter, described before, has been verified.
通过对实测全极化数据分析，验证了海杂波已被阐述的极化特性。
C band real radar sea-clutter data were analyzed and the modified mean square difference test for analyzing the "tail" of clutter was constructed.
对C波段实测雷达海杂波数据进行了统计分析，并为分析杂波“拖尾”特性构造了修正的均方差检验法；
C band real radar sea-clutter data were analyzed and the modified mean square difference test for analyzing the "tail" of clutter was constructed.
对C波段实测雷达海杂波数据进行了统计分析，并为分析杂波“拖尾”特性构造了修正的均方差检验法；
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