在理论推导的基础上,分别利用模拟和实测的雷达回波资料进行反演试验.在模拟雷达回波资料反演时,分别对不引入正则化项和引入正则化项的反演结果进行讨论;在实际雷达回波资料反演时,讨论了反演结果对初猜值精度的依赖性,分别考虑初猜值为经验模型给定时和初猜值为统计反演结果时对最后反演精度的影响.最后比较了变分伴随正则化方法与传统统计反演算法的优缺点,指出下一步反演算法的改进方向.
On the theoretical basis,using simulated and measured radar clutter data,we tested the inversion algorithm respectively. In simulated radar clutter data inversion,inversion results with and without considering the regularization item are discussed. In real radar clutter data inversion,dependence of the inversion results on the precision of the first guess values is discussed,in which the first guess values are either emperical model values or statistics inversion results, respectively. Finally,the advantages and disadvantages are compared between the variation adjoint regularization algorithm and the traditional statistical inversion algorithm,pointing out the direction of improvement in future work.