An analysis of the effects of windowing on selected STAP algorithms

B.E. Smith, T. Hale
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引用次数: 3

Abstract

The paper analyzes the effects of common data windows on STAP algorithms and the non-adaptive signal match processor. The windows are applied both to temporal and spatial dimensions. With the exception of factored approaches, it is shown that STAP algorithm performance decreases when windows are applied. Finally, a Monte Carlo analysis of probability of detection is performed on the best windowed/nonwindowed combination from each technique evaluated. Because the covariance must be estimated, the results demonstrate that the windowed non-adaptive signal match processor can outperform partially adaptive STAP methods at normalized Doppler between 0.25 and 0.75, while partially adaptive STAP algorithms perform significantly better than the windowed signal match processor closer to the clutter normalized Doppler.
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窗口对选定STAP算法的影响分析
分析了常用数据窗对STAP算法和非自适应信号匹配处理器的影响。窗户同时适用于时间和空间维度。除因式方法外,STAP算法在应用窗口时性能下降。最后,对所评估的每种技术的最佳加窗/无窗组合进行了检测概率的蒙特卡罗分析。由于必须估计协方差,结果表明,加窗非自适应信号匹配处理器在归一化多普勒0.25 ~ 0.75范围内的性能优于部分自适应STAP算法,而部分自适应STAP算法的性能明显优于靠近杂波归一化多普勒的加窗信号匹配处理器。
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