Two-dimensional Smoothing in the Presence of Empirical Nonstationarity due to a Fast Moving Target Part I: Blockwise Subspace-based Technique for Coherent Multipath Component Decorrelation
Lei Jiang, Nopphon Keerativoranan, Tadashi Matsumoto, Jun‐ichi Takada · 2024
This paper presents a combined-domain technique designed to cope with double selectivity inherent in channels, specifically, the selectivity in the temporal and spatial domains. The focus is on the channels connecting a target with very high mobility to a fixed receiver with array antennas. A two-dimensional (2D) subspace algorithm is proposed for the estimation of the directionof-arrival (DOA) of wireless signals transmitted from a fast-moving target. This algorithm accounts for the coherent multipath component decorrelation, enhancing the accuracy of DOA estimation. In the presence of a highly mobile target, the measurement procedure has to be finished very quickly so that the DOA does not change during the measurement period. Hence, a measurement with limited sample size cannot cover the entire range of possible channel values. Such a finite sample sequence is nonstationary, which is, in this paper, referred to as empirical nonstationarity. The first part of our study (Part I: Blockwise subspace-based technique for coherent multipath component decorrelation) describes a blockwise algorithm. This algorithm combines spatial and temporal samples to decorrelate the coherent multipath propagation in empirical Manuscript