  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.
