Beam Structured Turbo Receiver for HF Skywave Massive MIMO
Linfeng Song, Ding Shi, Xiqi Gao, Geoffrey Ye Li, Xiang-Gen Xia

TL;DR
This paper introduces a beam structured turbo receiver for HF skywave massive MIMO systems, utilizing a modified beam-based channel model and innovative signal detection methods to enhance performance and reduce complexity.
Contribution
It proposes a novel beam structured turbo receiver with a modified channel model, asymptotic optimality, and an efficient implementation for HF skywave massive MIMO communications.
Findings
Superior performance demonstrated in simulations
Low complexity of the proposed receiver
Effective interference suppression achieved
Abstract
In this paper, we investigate receiver design for high frequency (HF) skywave massive multiple-input multiple-output (MIMO) communications. We first establish a modified beam based channel model (BBCM) by performing uniform sampling for directional cosine with deterministic sampling interval, where the beam matrix is constructed using a phase-shifted discrete Fourier transform (DFT) matrix. Based on the modified BBCM, we propose a beam structured turbo receiver (BSTR) involving low-dimensional beam domain signal detection for grouped user terminals (UTs), which is proved to be asymptotically optimal in terms of minimizing mean-squared error (MSE). Moreover, we extend it to windowed BSTR by introducing a windowing approach for interference suppression and complexity reduction, and propose a well-designed energy-focusing window. We also present an efficient implementation of the windowed…
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