基于实测海杂波的典型幅度分布模型对比分析

Comparative Analysis of Classical Statistical Models Based on Real Sea Clutter

利用五种经典的统计分布模型(高斯分布、瑞利分布、韦布尔分布、对数正态分布和K分布)对采集到的海杂波数据进行模型验证与误差分析,首先利用X波段的IPⅨ雷达实测数据,对比分析了不同极化条件下海杂波幅度分布模型建模结果;然后利用某型S波段雷达实测数据,对比分析了不同海情条件下S波段幅度分布统计特性差异,结果表明:X波段雷达实测数据条件下最佳模型为对数正态分布,S波段雷达实测数据条件下最佳模型为K分布。

Based on the collected sea clutter data, the paper adopts five kinds of classical statistical distribution models （ Gauss distribution, Rayleigh distribution, Weibull distribution lognormal distribution and K distribution） for model validation and error analysis. First, X-band IPIX real radar data is used, and the comparative analysis of sea clutter distribution models on condition of different polarizations is made. Then, S-band real radar data is used, and the comparative analysis of sea clutter distribution models on condition of low and high sea conditions is carried out. The result shows that the best statistical model for X-band real radar data mentioned above is the lognormal distribu- tion, while the best statistical model for S-band real radar data mentioned above is K distribution.