While integrated sensing and communication has attracted great attention, integrated imaging and communication is still largely open. Microwave, millimeter-wave, and tera-Hz imaging needs to sample a huge number of antenna positions and is thus too complex and costly to mobile communication devices. To address this challenge, we propose a Lightweight Imaging Algorithm (LIA) to reduce the complexity of both imaging hardware and computation. Based on the synthetic aperture radar principle, LIA uses the iterative matrix inversion lemma to estimate image pixels efficiently. Simulations with both simulated and real-world data verified that LIA had superior performance. The algorithm is promising to compact handheld and mobile devices in integrated imaging and communication applications.

中文翻译：

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用于集成成像和通信应用的轻型2D成像

尽管集成的传感和通信引起了极大的关注，但集成的成像和通信仍在很大程度上是开放的。微波，毫米波和太赫兹成像需要对大量天线位置进行采样，因此对于移动通信设备而言过于复杂且成本高昂。为了应对这一挑战，我们提出了一种轻量级成像算法（LIA），以减少成像硬件和计算的复杂性。基于合成孔径雷达原理，LIA使用迭代矩阵求逆引理有效地估计图像像素。使用仿真数据和真实数据进行的仿真验证了LIA具有卓越的性能。该算法有望在集成成像和通信应用中实现紧凑的手持和移动设备。