K-distribution Clutter Simulation Methods Based on Improved ZMNL and SIRP
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摘要: 零记忆非线性变换(ZMNL)法和球不变随机过程(SIRP)法是模拟K 分布杂波的两种常用方法。针对传统ZMNL 方法中形状参数(半)整数化所导致的杂波模拟偏差问题,该文提出采用增加Gamma 分布生成支路的方法进行改进,改进后的方法能够模拟任意形状参数的K 分布杂波;针对传统SIRP 方法运算量较大的问题,给出了一种改进的调制变量产生方法,该方法能够避免求解非线性方程,极大地降低了运算量,提高了仿真速度。仿真结果验证了改进方法的有效性。Abstract: Zero Memory NonLinearity (ZMNL) and Spherically Invariant Random Process (SIRP) are two commonly used methods in K-distribution clutter simulations. An improved simulation method, which adds abranch of Gamma-distributed variable and extends the shape parameter to arbitrary positive real, is proposed to address the clutter simulation error in the conventional ZMNL method. To reduce the computation required for the conventional SIRP method, an improved method of modulation variable generation is also proposed, what avoids large computations for solving nonlinear equations and improves the simulation speed. The simulation results verify the effectiveness of the improved methods.
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Key words:
- K distribution /
- Radar clutter /
- Correlation /
- Coherent
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