A Spatio-Temporal Signal Dimension Reduction Method for Integrated Localization and Sensing

Abstract

The development of millimeter-wave frequency band and large-scale antenna arrays offers great opportunities for high-accuracy localization and sensing, but at the cost of large communication overheads, big memory, and complex computation. In this context, effectively reducing signal dimension to alleviate resource consumption is essential in practice. In this paper, we propose a spatio-temporal signal dimension reduction method, which reduces signal dimensions without information loss for integrated localization and sensing. Different from the existing reduction methods only considering one domain, we reduce both the temporal and the spatial signal dimensions and reveal the compressible property of the array signals.