对海监视雷达杂波的建模及仿真

杂波是雷达回波信号的重要组成部分，研究中常用幅度概率分布模型和相关谱型来描述。采用零记忆非线性变换法(ZMNL)进行建模设计，生成同时满足幅度分布条件和相关特性的随机序列，并将模拟杂波数据的概率密度和功率谱与理论曲线对比，进一步验证 ZMNL 法杂波建模的有效性和准确性。最后针对海航大学对海探测的雷达回波实测数据，进行海杂波和云雨杂波回波的幅度概率分布和功率谱的分析。

Modeling and Simulation of Clutter for Sea Surveillance Radar

Clutter is an important part of radar echo signal, which is often described by clutter amplitude probability distribution model and clutter correlation spectrum. Zero Memory Nonlinearity (ZMNL) is used for clutter modeling and design. Generate a random sequence that meets both certain amplitude distribution conditions and certain correlations characteristics, and compare the probability density and power harmonic of the simulated clutter data with the theoretical curve to further verify the effectiveness and accuracy of ZMNL clutter modeling. Finally, the amplitude probability distribution and power harmonic of sea clutter and cloud-rain clutter are analyzed based on the measured radar echo data of NA University for sea exploration.