摘要
针对低慢小目标的特点,研究了雷达信号处理的实现流程和关键算法,重点阐述了强杂波抑制、自适应恒虚警检测(CFAR)和单脉冲测角算法,通过加载雷达实测回波数据仿真验证了信号处理算法的功能,结果说明算法能有效抑制杂波干扰,在复杂背景条件下检测出低慢小目标。
According to the characteristics of the Low altitude Slow speed and Small Target(LSS-target), this paper studies the radar signal processing of the implementation process and the key algorithms, mainly elaborated the strong clutter suppression, adaptive constant false alarm detection(C)FAR and single pulse angle measuring algorithm, then simulation verifies the function of the signal processing algorithm by loading radar measured data, the results show that the algorithm can suppress clutter interference effectively, and detect LSS-target successfully under complex background.
作者
向凡夫
郝冬青
吴鹏
XIANG Fan-fu;HAO Dong-qing;WU Peng(Jiangsu Automation Research Institute, Lianyungang 222061, China)
出处
《指挥控制与仿真》
2019年第4期40-46,共7页
Command Control & Simulation
关键词
低慢小目标
雷达信号处理
关键算法
实测数据
LSS-target
radar signal processing
key algorithm
actual measured data