雷达海杂波K分布序列模型仿真ZMNL和SIRP方法比较分析

Comparison and Analysis of Radar Sea Clutter K Distribution Sequence Model Simulation Based on ZMNL and SIRP

摘要: K分布序列模型是比较逼近真实海杂波特性的仿真模型，在海杂波仿真中应用广泛。而ZMNL和SIRP是产生海杂波随机序列常见的两种方法。本文介绍了ZMNL和SIRP两种方法产生海杂波随机序列的流程，然后对两种方法产生数据与真实海杂波数据的逼近程度进行了仿真。经过比较分析，相对于ZMNL法，SIRP法产生的海杂波数据在幅度分布和频谱特性更接近于真实数据，在计算速度允许的情况下优先选择SIRP法。

Abstract: K-distribution sequence model is a simulation model that approximates the real sea clutter characteristics, and it is widely used in sea clutter simulation. ZMNL and SIRP are two common methods to generate random clutter of sea clutter. This paper describes two methods of ZMNL and SIRP to generate sea clutter random sequence, and then the approximation of the data generated by the two methods and the real sea clutter data is simulated. After comparative and analysis, sea clutter data generated by the SIRP is closer to the real data in amplitude distribution and spectral characteristics than data generated by ZMNL, and SIRP method should be preferred when computational speed allows.