粒子群优化算法在海杂波参数优化中的应用

以具有对数正态分布和高斯谱特性的海杂波产生为例，根据零记忆非线性变换法（ZMNL）的原理，将海杂波的产生转化为参数优化问题，并用粒子群优化算法（PSO）进行求解，最后还将仿真结果与遗传算法进行了比较。讨论了用PSO进行参数优化的具体实现过程，并找到了较优的滤波器系数，得到满意的杂波谱特性。仿真结果表明，该方法完全可应用到海杂波的产生方法中。

Application of particle swarm optimization to sea clutter parameter optimization

Wth the sea clutter having lognormal distribution and Gaussian spectrum as an example in this paper, the generation of sea clutter is transformed to parameters optimization via zero memory nonlinearity(ZMNL). The specific implementation procedure is resolved by Particle Swarm Optimization(PSO), which can result in better coefficients to get satisfactory spectrum properties. A comparison between the PSO and the genetic algorithm is given in the simulation, results of which show that the proposed method can be applied to the generation of sea clutter.