Channel splicing is a rather new and very promising concept. It allows to realize a wideband channel sounder by combining multiple narrow-band measurements. Among others, channel splicing is a sparse sensing techniques suggested for use in joint communication and sensing (JCAS), channel measurements and prediction using cheap hardware that cannot measure wideband channels directly such as in the internet of things (IoT). This work validates the practicality of a channel splicing technique by integrating it into an OFDM-based IEEE 802.11ac system, which we consider representative for many IoT solutions. Our system allows computing both the channel impulse response (CIR) and the channel frequency response (CFR). In this paper, we concentrate on the impact of the number of sub-bands in our study and show that even using only 50% of the overall spectrum leads to very accurate CIR measures. We validate the system in simulation and confirm the results in an experimental in-door scenario using software defined radios.

翻译：信道拼接是一种较新且极具前景的概念，它通过组合多个窄带测量来实现宽带信道探测。作为一种稀疏感知技术，信道拼接被建议用于联合通信与感知（JCAS）、信道测量与预测等场景，尤其适用于物联网（IoT）中无法直接测量宽带信道的低成本硬件。本研究通过将信道拼接技术集成至基于OFDM的IEEE 802.11ac系统（该架构被认为是众多物联网解决方案的代表），验证了其实用性。我们的系统能够同时计算信道冲激响应（CIR）和信道频率响应（CFR）。本文重点分析了子带数量对系统性能的影响，结果表明即使仅使用整个频谱的50%，也能获得非常精确的CIR测量结果。我们通过仿真验证了系统性能，并在室内实验场景中利用软件定义无线电确认了实验结果。