Channel Estimation via Orthogonal Matching Pursuit for Hybrid MIMO Systems in Millimeter Wave Communications

Lee, Jun-Ho; Gil, Gye-Tae; Lee, Yong H.

doi:10.1109/tcomm.2016.2557791

Cited by 530 publications

(463 citation statements)

References 37 publications

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“…It is important to point out that to arrive at the mathematical formulation for the MIMO channel input/output system configuration, although not quite difficult, is an intricate and laborious procedure. We illustrate this procedure by describing in some detail the mathematical formulations for the SISO, MISO and SIMO channel input/output configurations that we first derived in order to arrive at our proposed MIMO channel model system configuration [26]. …”

Section: Delay-doppler Mimo Channel Characterizationmentioning

confidence: 99%

A Framework for Multiple Object Tracking in Underwater Acoustic MIMO Communication Channels

Rodriguez

Aceros

Valera

et al. 2017

JSAN

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This work presents a computational framework for the analysis and design of large-scale algorithms utilized in the estimation of acoustic, doubly-dispersive, randomly time-variant, underwater communication channels. Channel estimation results are used, in turn, in the proposed framework for the development of efficient high performance algorithms, based on fast Fourier transformations, for the search, detection, estimation and tracking (SDET) of underwater moving objects through acoustic wavefront signal analysis techniques associated with real-time electronic surveillance and acoustic monitoring (eSAM) operations. Particular importance is given in this work to the estimation of the range and speed of deep underwater moving objects modeled as point targets. The work demonstrates how to use Kronecker products signal algebra (KSA), a branch of finite-dimensional tensor signal algebra, as a mathematical language for the formulation of novel variants of parallel orthogonal matching pursuit (POMP) algorithms, as well as a programming aid for mapping these algorithms to large-scale computational structures, using a modified Kuck's paradigm for parallel computation.

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Section: Delay-doppler Mimo Channel Characterizationmentioning

confidence: 99%

A Framework for Multiple Object Tracking in Underwater Acoustic MIMO Communication Channels

Rodriguez

Aceros

Valera

et al. 2017

JSAN

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“…7 In contrast to conventional microwave frequencies, mmW signals have a smaller delay spread because of the higher path loss effect. [12][13][14][15] Such a consideration is called an on-grid angle selection. Thus, the signal bandwidth will be larger than the coherence bandwidth that leads to having a frequency-selective channel.…”

Section: Introductionmentioning

confidence: 99%

The off‐grid frequency selective millimeter wave channel estimation

Dastgahian

Tehrani

Khoshbin

2018

Int J Communication

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Broadband millimeter wave (mmW) systems are a promising pioneer of cellular communication for next generation which is utilizing the hybrid baseband/ analog beamforming structures along with the miniature massive antenna arrays at both sides of the communication link. mmW channel with an available unlicensed spread spectrum is frequency selective because the signal bandwidth can be larger than the coherence bandwidth. Due to the sparse nature of mmW channel, extracting compressive sensing model of the system is preferable. In fact, exploiting the sparse structure will lead to the reduction of the computational complexity, because there is a reduction in the channel training length compared with the conventional methods such as least square estimation. Most of the prior works have considered on-grid quantized departure/arrival angles in the input/output antennas to obtain a sparse virtual channel model. However, the sparse angles in the physical channel model are continuous where this continuity indicates a mismatch between the physical angles and the on-grid angles. Such a mismatch will contribute to unwanted components in the virtual channel model. Given these extra components, the conventional compressive sensing tools are unable to recover the channel. In this paper, we propose two solutions for overcoming the problem caused by off-grid angle selection. The first is based on the vector shaping, and the second one is based on the sparse total least square concepts. Simulation results demonstrate that the proposed methods both could obtain an adequate channel recovery and are preferable regarding computational complexity concerning the newly developed surrogate method. KEYWORDScompressive sensing (CS), millimeter wave (mmW), off-grid, on-grid quantization, total least square (TLS), vector shaping (VS)

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“…2 This can be alleviated by leveraging Fully documented templates are available in the elsarticle package on CTAN. [8][9][10] Correspondingly, with the aid of compressed sensing (CS), 11 the associated pilot overhead for channel estimation can be significantly reduced. 3,4 However, the hybrid architecture brings about the challenging channel estimation due to both the high-dimensional channel matrix and low signal-to-noise ratio (SNR) before precoding and combining.…”

Section: Introductionmentioning

confidence: 99%

“…3,4 However, the hybrid architecture brings about the challenging channel estimation due to both the high-dimensional channel matrix and low signal-to-noise ratio (SNR) before precoding and combining. In Lee et al,9 an open-loop method was proposed based on quantized angles of departures (AoDs)/angles of arrivals (AoAs), so that mmWave channel estimation was performed by a redundant dictionary consisting of array response vectors of base station (BS) and mobile station (MS). Nevertheless, the size of the codebook should be increasing with the number of transmit antennas, which accordingly enlarges the training overhead.…”

Section: Introductionmentioning

confidence: 99%

Distributed compressed sensing‐based multiuser channel estimation for frequency‐selective hybrid mmWave MIMO system

Zhang

Gao

et al. 2018

Int J Communication

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Channel Estimation via Orthogonal Matching Pursuit for Hybrid MIMO Systems in Millimeter Wave Communications

Cited by 530 publications

References 37 publications

A Framework for Multiple Object Tracking in Underwater Acoustic MIMO Communication Channels

A Framework for Multiple Object Tracking in Underwater Acoustic MIMO Communication Channels

The off‐grid frequency selective millimeter wave channel estimation

Distributed compressed sensing‐based multiuser channel estimation for frequency‐selective hybrid mmWave MIMO system

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