基于递归定量分析的实测海杂波中的小目标检测

Small Target Detection in the Observed Sea Clutter Based on Recurrence Quantification Analysis

提高海杂波中小目标的检测能力,在海洋监视、军事侦察和浮冰检测等军事、民用领域中有着广泛需求,因此海杂波的研究一直是雷达技术领域研究的热点问题。首次将递归定量分析方法引入实测海杂波数据分析中,采用该方法计算海杂波时间序列相空间重构后各递归参量并将其应用于海杂波背景下小目标检测,得到了较好的结果。实验初步证明了采用递归定量分析方法对海杂波数据进行分析和小目标检测是可行并且有效的。

It is demanded widely to improve the detection ability of small object in sea clutter in both military and civil fields such as marine surveillance, military reconnaissance and ice detection, so the study of sea clutter always is a focus in the field of radar technology. In this paper, Recurrence Qauntification Analysis was used to analyse the measured sea clutter for the first time, after reconstrucicing the phase spaces of the sea clutter time series, recurrence parameters were computed for the small targets detection in the sea clutter, and had better results. The preliminary experimental results proved that Recurrence Qauntification Analysis is feasible and effective for the small targets detection and the analysis of the sea clutter data.