基于实测数据的海杂波K分布参数估计方法研究

针对海杂波K分布模型参数难以估计的特点,提出了一种自适应遗传求解算法。该算法利用相关熵作为适应度函数,按照自适应变异原则进行优化,实现了参数的准确估计。实测数据处理结果表明,该算法性能优于矩估计法和最大似然估计法,具有很高的估计精度和适应性,从而为最优检测算法设计提供依据。

Study on parameter estimation in K-distributed sea clutter based on real data

It is difficult to estimate distribution parameters about K-distributed sea clutter,thus an adaptive genetic algorithm is put forward.The algorithm takes correlation entropy as the fitness function,implements optimization according to the principle of adaptive mutation,and then obtains the exact estimation of distribution parameters of sea clutter model.Real data processing result showed that:compared with the moment estimate algorithm and maximum likelihood estimate algorithm,the algorithm put forward here has better performance in estimation accuracy and adaptability,which supplies a reference for the design of optimum detection algorithm.