数据采集与处理2024，Vol.39Issue(6)：1310-1325,16.DOI:10.16337/j.1004-9037.2024.06.002
面向非平稳海杂波的信号处理方法研究进展
Research Progress of Signal Processing Methods for Nonstationary Sea Clutter
傅彬 1柏业超1
作者信息
- 1. 南京大学电子科学与工程学院,南京 210023
- 折叠
摘要
Abstract
With regard to signal detection problems in sea clutter background,traditional methods can not achieve optimal performance due to that sea clutter is an example of nonstationary signal and its statistical characteristics vary over time.The existing nonstationary signal processing methods mainly include two categories:methods based on statistical models and methods based on time series analysis.From a statistical point of view,the most commonly used method is modeling sea clutter by compound Gaussian(CG)distribution.From the perspective of time series analysis,there are many models to describe nonstationary signals including time-varying autoregressive(TVAR)model,generalized autoregressive conditional heteroskedasticity(GARCH)model and stochastic volatility(SV)model.We make comparisons of these methods mentioned above and evaluate if they could be applied to detection in sea clutter background.All of the methods can accurately describe part of the characteristics of a nonstationary sea clutter signal to some extent.However,there exist difficulties if we try to design easy-to-implement detectors.Further research about modeling the characteristics of nonstationary signals is needed for signal detection in sea clutter background.关键词
海杂波/非平稳信号/复合高斯分布/基于时间序列分析的方法Key words
sea clutter/nonstationary signal/compound gaussian(CG)distribution/methods of time series analysis分类
信息技术与安全科学引用本文复制引用
傅彬,柏业超..面向非平稳海杂波的信号处理方法研究进展[J].数据采集与处理,2024,39(6):1310-1325,16.
