Short range channels commonly arise in millimeter wave (mmWave) wearable settings, where the length of the antenna arrays can be comparable to the distance between the radios. Conventional mmWave MIMO channel estimation techniques based on the far field assumption may perform poorly in short range settings due to the large angular spread and, hence, high available rank. We propose a geometry-aided message passing algorithm that exploits structure in short range line-of-sight (LoS) channels for spatial sub-Nyquist channel estimation. Our approach parametrizes the channel using angle-of-arrivals (AoAs) that are locally defined for subarrays of an antenna array. Furthermore, it leverages the dependencies between the local AoAs using factors based on the array geometry. We show that the LoS MIMO channel can be reconstructed using the derived local AoA estimates and the known transceiver geometry. The proposed approach achieves a reasonable rate with greatly reduced pilot transmissions when compared to exhaustive beam search-based local AoA estimation.
Kaleva Jarkko, Myers Nitin Jonathan, Tölli Antti, Heath Jr. Robert W.
A4 Article in conference proceedings
Place of publication:
20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019, 2-5 July 2019, Cannes, France
29 August 2019
J. Kaleva, N. J. Myers, A. Tölli and R. W. Heath, “A Geometry-aided Message Passing Method for AoA-Based Short Range MIMO Channel Estimation,” 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Cannes, France, 2019, pp. 1-5. doi: 10.1109/SPAWC.2019.8815555
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