一种基于SPMAD估计的海杂波中低速小目标的检测方法

ASPMAD－Based Detection Method to Low－Velocity Small Objects in Sea Clutter

海洋环境中低速小目标的有效检测是许多领域所关心的问题．本文在Ｎｏｈａｒａ等提出的基于ＡＲ模型的ＡＲＬＰＭ（ＡｕｔｏＲｅｇｒｅｓｓｉｖｅＬａｒｇｅｓｔＰｏｌｅＭａｇｎｉｔｕｄｅ）检测方法的基础上，提出了一种新的基于Ｄｅｃｈｉｒｐ和谱峰差分绝对值平均值ＳＰＭＡＤ（ＳｐｅｃｔｒａｌＰｅａｋＭｅａｎＡｂｓｏｌｕｔｅＤｉｆｆｅｒｅｎｃｅ）的检测方法，仿真结果表明：该方法在性能上同ＡＲＬＰＭ方法相比有显著的改善．

The efficient deteCtion to low-velocity small objects in sea environment has received much attention in many fields. In this paper,on the basis of AR-based ARLPM detectionmethod proposed by Nohara,a new detection method based on Dechirp and SPMAD is developed.Simulation results show that this method is superior to the ARLPM method in performance.