论文标题
1位测量值的基于无网状感应的毫米波大量MIMO系统的基于无网状的感应通道估计
A Gridless Compressive Sensing Based Channel Estimation for Millimeter Wave Massive MIMO Systems from 1-Bit Measurements
论文作者
论文摘要
本文考虑了从1位量化的测量值中估算稀疏毫米波（MMWAVE）的稀疏毫米波（MMWAVE）OFDM通道的问题。与以前的量化网格接种方法不同，我们引入了一个离网凸方案，该方案使用二进制原子范围最小化（BIANM）来估计稀疏通道形式形式的1位测量值。此外，在本文中，我们提出了一个被脱钩的斜角版本的Bianm，称为脱钩的二进制原子规范最小化（Debianm），以降低复杂性。此外，为了提高估计的准确性，我们开发了名为重新加权的二进制原子规范最小化（Rebianm）的Bianm的重新加权版本，这是Atomic $ \ ell_0 $ norm and Atomic $ \ ell_1 $ norm之间的权衡。此外，为了改善debianm的性能，我们介绍了重新持续的Debianm，被称为重新加权的脱钩二进制原子量最小化（Redebianm）。最后，通过模拟结果，研究了所提出的方法的性能。
This paper considers the problem of estimating the sparse millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) OFDM channel from 1-bit quantized measurements. Unlike previous quantized on-grid approaches to compressive sensing, we introduce an off-grid convex scheme which uses binary atomic norm minimization (BiANM) to estimate sparse channel form 1-bit measurements. Moreover, in this paper, we propose a decoupled angle-delay version of BiANM called decoupled binary atomic norm minimization (DeBiANM) in order to reduce complexity. Further, for improving the accuracy of the estimation, we develop reweighted version of BiANM named reweighted binary atomic norm minimization (ReBiANM) that is a trade-off between atomic $\ell_0$ norm and atomic $\ell_1$ norm. Also, for improvement the performance of the DeBiANM, we introduce the reweighted version of DeBiANM, termed as reweighted decoupled binary atomic minimization (ReDeBiANM). Finally, through the simulation results, the performance of the proposed methods are studied.
