2019/06/20 by Jarkko Kaleva, Kaleva, Jarkko, Nitin Jonathan Myers +5 · 1 citation
Engineering · #Antenna Design and Optimization #FOS: Electrical engineering #Indoor and Outdoor Localization Technologies #Millimeter-Wave Propagation and Modeling #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1906.08919
openalex publication_date 2019/06/20 · openalex created_date 2022/07/28 · openalex updated_date 2026/08/04
Short range channels commonly arise in millimeter wave (mmWave) wearable\nsettings, where the length of the antenna arrays can be comparable to the\ndistance between the radios. Conventional mmWave MIMO channel estimation\ntechniques based on the far field assumption may perform poorly in short range\nsettings due to the large angular spread and, hence, high available rank. We\npropose a geometry-aided message passing algorithm that exploits structure in\nshort range line-of-sight (LoS) channels for spatial sub-Nyquist channel\nestimation. Our approach parametrizes the channel using angle-of-arrivals\n(AoAs) that are locally defined for subarrays of an antenna array. Furthermore,\nit leverages the dependencies between the local AoAs using factors based on the\narray geometry. We show that the LoS MIMO channel can be reconstructed using\nthe derived local AoA estimates and the known transceiver geometry. The\nproposed approach achieves a reasonable rate with greatly reduced pilot\ntransmissions when compared to exhaustive beam search-based local AoA\nestimation.\n