We present two techniques for optimizing the position of transmitter and receiver modules on a sparse aperture for a millimeter-wave computational imaging system. The first technique uses an easily computable spatial representation of the transmitter and receiver array, called the coarray, to ideally distribute the spatial frequency components probed by the imaging setup. The second approach involves maximizing the information added by a complete measurement of the scene by the system. This approach is analogous to the system capacity maximization frequently employed in wireless communication. We show that employing aperture configurations optimized using these two techniques over commonly used standard aperture configurations results in 30% less mean-squared error when used to reconstruct a particular ensemble of 400 arbitrary 2-D objects. Finally, we discuss the similarities and differences between the two optimization strategies in terms of imaging performance and computational speed, including a case when one strategy performs better than the other.

中文翻译：

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毫米波计算成像的稀疏孔径配置的优化

我们提出了两种技术，用于优化毫米波计算成像系统的稀疏孔径上的发射器和接收器模块的位置。第一种技术使用了称为共阵列的发射器和接收器阵列的易于计算的空间表示，以理想地分布由成像设置探测的空间频率分量。第二种方法涉及最大化系统完整测量场景所添加的信息。这种方法类似于无线通信中经常使用的系统容量最大化。我们显示，在用于重建400个任意2-D对象的特定集合时，采用在常用的标准孔径配置上使用这两种技术优化的孔径配置可减少30％的均方误差。