Hadamard-Walsh Channelized Receivers: Theory, Implementation, and Applications

Ultra-wideband (UWB) communication and sensing, known for its high data rate and low latency, has emerged as a prominent technology in internet-of-things (IoT) and 5G communication applications. In this paper, we propose to utilize the Hadamard-Walsh Transformation (HWT) as an efficient and accurate channelization technique, in order to relax the per-channel receiver specifications. We present a comprehensive analysis of HWT and how it enables channelization, which is supported by simulation results. The study demonstrates HWT’s potential for applications such as RF analog-to-digital converter (ADC), correlator, and compressive sensing (CS).