Compressive Sensing-Based Detector Design for SM-OFDM Massive MIMO High Speed Train Systems

Gong, Bo; Gui, Lin; Qin, Qibo; Ren, Xiang

doi:10.1109/tbc.2017.2731039

Cited by 18 publications

(22 citation statements)

References 29 publications

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“…By substituting 3and 4into (11), and employing Parseval's formula to generate its FD version, we have…”

Section: B Channel Estimation Modelmentioning

confidence: 99%

“…where Λ is the conditional MSE based on the estimated channelĤ, defined in (11). Here, the constraint K−1 k=0B k = 0 Nt×Nt ensures that the feed-back filter does not remove the desired component [44]- [45].…”

Section: B Channel Estimation Modelmentioning

confidence: 99%

“…2) Output Extrinsic LLR of Equalized Signal: Similar to the soft output of the robust TDSDF-FDTE presented in Section III-A 2, the soft mapper of the proposed robust FDSDF-FDTE should also exploit the relationship amongst the MSE matrix, the equalized signal and the desired signal in (11) for determining the conditional PDF of the equalized signalŝ m of (33). Firstly, the equalized signalŝ m in (33) can be refined by invoking the TD circular convolution form, as followŝ…”

Section: B Channel Estimation Modelmentioning

confidence: 99%

“…In the previous studies of SM, a flurry of research has been focused on the design of low-complexity transceivers for flat-fading channels [5]- [9], but there is a paucity of SM-contributions designed for frequency-selective fading channels. In order to support high-rate broadband SM transmission, single-carrier (SC) SM [10] and multicarrier SM orthogonal frequency division multiplexing (OFDM) [11] have been proposed for frequency-selective fading channels. Compared to SM-OFDM, SC-SM constitutes a more promising alternative for broadband SM scenarios, since it exhibits reduced peak-to-average power ratios, offers improved multi-path diversity gains and retains the single RF structure.…”

Section: Introductionmentioning

confidence: 99%

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Joint Iterative Channel Estimation and Frequency-Domain Turbo Equalization for Single-Carrier Spatial Modulation

Zhao

Xiao

Yang

et al. 2019

IEEE Trans. Commun.

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Single carrier frequency-domain turbo equalization (SC-FDTE) has gained widespread adoption in the emerging broadband spatial modulation (S-M) systems operating in frequency selective channels, where the channel model considered is a quasi-static Rayleigh fading channel. In this paper, a new class of robust FDTE designs based on the minimum meansquare error (MMSE) criterion is conceived for broadband single-carrier SM (SC-SM) systems relying on realistic imperfect channel knowledge. First, a robust time-domain soft-decision feedback (TDSDF) aided FDTE is proposed to cope with channel estimation errors at the receiver. Furthermore, its robust frequencydomain soft-decision feedback (FDSDF) aided counterpart is derived to offer a low-complexity approximate solution. Finally, by exploiting the carefully selected reliable soft-decision output of the channel decoder as pilots, we refine the resultant decision-directed channel estimation. As a benefit, the performance of the two robust FDTEs can be further improved. Both our simulation results and our extrinsic information transfer (EXIT) chart analysis demonstrate that the proposed robust FDTEs achieve significant performance improvements over the conventional FDTEs. Index Terms-Single-carrier (SC), spatial modulation (SM), frequency-domain turbo equalizer (FDTE), imperfect channel knowledge.

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“…By substituting 3and 4into (11), and employing Parseval's formula to generate its FD version, we have…”

Section: B Channel Estimation Modelmentioning

confidence: 99%

Section: B Channel Estimation Modelmentioning

confidence: 99%

Section: B Channel Estimation Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Joint Iterative Channel Estimation and Frequency-Domain Turbo Equalization for Single-Carrier Spatial Modulation

Zhao

Xiao

Yang

et al. 2019

IEEE Trans. Commun.

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“…the carrier frequency offset (CFO) at a slight complexity increase. Gong et al [7] applied SM-OFDM to provide robust communications over high speed train (HST) systems.…”

mentioning

confidence: 99%

An Experimental Investigation of Enhanced SM-OFDM Over Indoor Rician Multipath Channels

Jiang

Liu

Yang

et al. 2020

IEEE Trans. Veh. Technol.

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In this letter, we investigate enhanced spatial modulation (ESM) aided orthogonal frequency division multiplexing (OFDM) systems. ESM extends the conventional SM by introducing a series of signal constellations. Existing research shows that ESM displays performance superiority over SM in flat-fading channels. For frequency-selective fading channels, we design a practical implementation of an ESM&SM aided OFDM hybrid system to characterize the bit error rate (BER) performance of ESM and conventional SM with an experimental wireless testbed. Form the experimental results, it is found that ESM achieves better BER performance than SM on frequency-selective channels, which are consistent with the Monte Carlo simulation results. Index Terms-Bit error rate (BER), enhanced spatial modulation (ESM), multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM), wireless testbed. I. INTRODUCTION M ULTIPLE-INPUT multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) [1] is a key enabling technique for modern high-rate communications. However, due to the use of multiple-antenna and multiplecarrier, current MIMO-OFDM suffers from several problems, such as the inter-channel interference (ICI), the inter-antenna interference (IAI), the need for multiple radio frequency (RF) chains [2], and the high peak-to-average power ratio (PAPR) of the transmitted signals. These problems result in extra complexity or power burden to MIMO-OFDM system design. Recently, spatial modulation-OFDM (SM-OFDM) has been proposed to address some of the above mentioned problems pertinent to MIMO-OFDM. The main idea of SM-OFDM is that at each channel use only one single transmit antenna (TA) activates its subcarrier for data transmission. The sparsity of the transmit vectors in frequency domain helps lower the PAPR, reduce the ICI, and allow a low-complexity receiver [2]-[4]. To date, some intensive studies have been conducted on SM-OFDM [5]-[7]. To be specific, [5] studied the average bit error rate (BER) performance of SM-OFDM with the socalled N-continuous (NC) precoder under perfect and imperfect channel estimations. [6] proposed a detection scheme for SM-OFDM which can effectively mitigate the effect of

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Performance Analysis of Channel Estimation Techniques for High-Speed Railway Networks

Bhagyashree¹,

Bhagya²

2021

Sustainable Communication Networks and Application

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Compressive Sensing-Based Detector Design for SM-OFDM Massive MIMO High Speed Train Systems

Cited by 18 publications

References 29 publications

Joint Iterative Channel Estimation and Frequency-Domain Turbo Equalization for Single-Carrier Spatial Modulation

Joint Iterative Channel Estimation and Frequency-Domain Turbo Equalization for Single-Carrier Spatial Modulation

An Experimental Investigation of Enhanced SM-OFDM Over Indoor Rician Multipath Channels

Performance Analysis of Channel Estimation Techniques for High-Speed Railway Networks

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