Millimeter Wave MIMO Channel Estimation With One-Bit Receivers

Autor:	Huiqin Du, Runxin Zhou, Duoying Zhang
Rok vydání:	2022
Předmět:	Computational complexity theory Rank (linear algebra) Computer science Modeling and Simulation Electrical and Electronic Engineering Converters Gradient descent Upper and lower bounds Algorithm Signal Computer Science Applications Communication channel Matrix decomposition
Zdroj:	IEEE Communications Letters. 26:158-162
ISSN:	2373-7891 1089-7798
DOI:	10.1109/lcomm.2021.3123368
Popis:	Receivers with one-bit analog-to-digital (ADC) converters are considered as a potential solution to reduce the power consumption and hardware complexity for millimeter wave (mmWave) multiple input multiple output systems. However, it is challenging to estimate the mmWave channel with one-bit ADCs because of significant distortions of received signal and a limited scattering nature. In this work, by exploiting the sparse and low-rank properties, we develop a mmWave channel estimation algorithm which can maximize the log-likelihoods under the rank and entry-wise infinity-norm constraints. Instead of using the convex relaxation for rank operation, matrix factorization is introduced to represent the exact rank constraint implicitly. The entry-wise infinity-norm is reformulated via the log-barrier method. The optimum estimation can be obtained iteratively via projected gradient ascent algorithm. Moreover, an upper bound performance of one-bit channel estimation is derived. Simulation results demonstrate that the proposed algorithm can obtain accurate estimation with relatively low computational complexity.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::cfc4cc98983b64a360bddf1432006660 https://doi.org/10.1109/lcomm.2021.3123368 Zobrazit plný text záznamu