摘要
针对舰载(或岸基)雷达对海面小目标检测问题,尤其对较短时间内完成检测的应用场合,基于自回归(AR)模型的解决方案,对其中具有代表性的算法———最大幅度极点法(ARLPM)的不足进行了详细分析,提出同时利用次大幅度极点信息的AR双极点分析法。给出了应用该方法的具体步骤,雷达数据检测结果证明该方法优于ARLPM法。
Ship-based （or bank-based） radars encounter a difficult problem of small targets detection in sea clutter, especially in some short-time applications. Based on AR-based solution, the shortcomings of the autoregressive largest pole magnitude （ARLPM） detector is analyzed, and the autoregressive double poles （ARDP） detector is suggested which is also concerned with the secondary large pole of AR model. The process of ARDP detector is provided. The ARDP detector is proved superior to the ARLPM detector bv detection results
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2006年第7期956-959,987,共5页
Systems Engineering and Electronics
关键词
海面小目标检测
自回归模型
双极点分析
small targets detection in sea clutter
AR model
double poles analysis
