摘要
为改善主动声呐的检测性能,研究了Pearson混响背景下的目标恒虚警检测问题,提出一种分布式模糊检测算法,并应用到CA,GO和SO三种均值类CFAR检测器中。全面分析3种均值类模糊检测器在均匀背景和非均匀背景下的检测性能,蒙特卡罗仿真结果证明,CA和SO检测器采用"代数和"融合逻辑时,在均匀背景和多目标干扰情况下具有最好的检测性能,而GO检测器在混响边缘情况下,利用"代数积"融合逻辑具有更好的虚警控制能力。
The problem of target constant-false-alarm-rate deteciton under Pearson distributed reverberation background is studied in this paper. It proposes a kind of distributed fuzzy detection scheme, then the scheme is used in average-lever detectors as CA, GO, and SO. The performances of the three average level detectors under homogenously and non-homogenously background reverberation are analyzed in the paper. The Monte Carlo simulation results indicate that CA and GO with the algebraic sum provided best detection performance under homogenously and multi-target condition, SO with the algebraic product provieded the best control ability of false alarm against clutter edges.
出处
《舰船科学技术》
北大核心
2013年第11期90-95,共6页
Ship Science and Technology
关键词
主动声呐
检测器
恒虚警
混响
active sonar
detector
C FAR
reverberation
