摘要
介绍了海杂波的幅度分布模型,指出了对于同一门限系数"尖锐"海杂波背景下的虚警率要明显高于噪声背景下的虚警率,提出了双参数单元平均恒虚警(CA-CFAR)检测器的结构框图,仿真分析了其检测性能。最后分别利用双参数CA-CFAR检测器和常规CA-CFAR检测方法对实测数据进行处理和比较,指出在虚警率一定的前提下前者相对于后两者在空间上可以自适应地改变门限系数以有效地抑制海杂波引起的高虚警。
A model for the amplitude statistics of radar sea clutter is introduced, and it is shown that for the same threshold coefficient, the probability of false alarm in "spiked" sea clutter is obviously higher than that in noise. Then the configuration map of a biparametric cell-averageing (CA-CFAR) detector is proposed, and the performance of this detector is analyzed by simulation. Finally, the real data detection results processed by the biparametric CA-CFAR detector and the traditional CA-CFAR method are compared. For a given probability of false alarm, the biparametric CA-CFAR detector can adaptively adjust its threshold coefficients in range to control the high probability of false alarm resulted from sea clutter.
出处
《现代雷达》
CSCD
北大核心
2010年第2期52-56,共5页
Modern Radar
关键词
双参数
单元平均
恒虚警
海杂波
K分布
对数正态分布
biparameter
cell averaging
constant false alarm rate
sea clutter
K distribution
lognormal distribution