This paper tackles the challenge of wideband MIMO channel estimation within indoor millimeter-wave scenarios. Our proposed approach exploits the integrated sensing and communication paradigm, where sensing information aids in channel estimation. The key innovation consists of employing both spatial and temporal sensing modes to significantly reduce the number of required training pilots. Moreover, our algorithm addresses and corrects potential mismatches between sensing and communication modes, which can arise from differing sensing and communication propagation paths. Extensive simulations demonstrate that the proposed method requires 4x less pilots compared to the current state-of-the-art, marking a substantial advancement in channel estimation efficiency.

翻译：本文致力于解决室内毫米波场景下宽带MIMO信道估计的挑战。我们提出的方法利用了集成感知与通信范式，其中感知信息辅助信道估计。关键创新在于同时采用空间和时间感知模式，以显著减少所需训练导频的数量。此外，我们的算法处理并纠正了感知与通信模式之间可能因传播路径差异而产生的不匹配问题。大量仿真表明，所提方法所需的导频数量仅为当前最先进技术的四分之一，标志着信道估计效率的重大进步。