针对微波凝视关联成像中,随机辐射源布局优化以随机辐射场矩阵的有效秩最大化为准则时面临目标函数计算复杂、效率太低的问题,提出了一种基于空间分布熵的布局优化方法。首先,构建了一种以空间分布熵来定量表征随机辐射源布局随机性的方法,并通过仿真分析验证了随机辐射源的空间分布熵与随机辐射场矩阵的有效秩之间的总体正相关性;然后,采用遗传算法以空间分布熵最大化为准则对随机辐射源布局进行了优化;最后,通过成像仿真验证了随机辐射源布局优化能有效提高微波凝视关联成像性能。

In microwave staring correlated imaging, the distribution optimization of the stochastic radiation source is now based on the maximum effective rank of the stochastic radiation field matrix. However, the efficiency of the optimization algorithm is too low because of the complex computation of the objective function. Focusing on this problem, a distribution optimization method based on spatial distribution entropy is proposed in this paper. Firstly, the concept of spatial distribution entropy is established to quantitatively characterize the randomness of the stochastic radiation source distribution, and the positive correlation between the spatial distribution entropy and the effective rank of the stochastic radiation field matrix is verified. Then, using the spatial distribution entropy as the objective function, genetic algorithm is introduced to optimize the distribution of the stochastic radiation source. Finally, the simulation results illustrate distribution optimization of the stochastic radiation source effectively improves the MSCI performance.

TN958

国家自然科学基金重点项目(61431016)