Low-Complexity Compressed Sensing-Based Channel Estimation With Virtual Oversampling for Digital Terrestrial Television Broadcasting

Paderna, Ryan; Thang, Duong Quang; Hou, Yafei; Higashino, Takeshi; Okada, Minoru

doi:10.1109/tbc.2016.2606938

Cited by 10 publications

(6 citation statements)

References 25 publications

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“…In addition, the injection coefficient g is properly controlled to lessen the signal power of the secondary data stream for further reduction of interference. Using the received pilot signals, the estimated channel for ISDB-TĤ (up) can be obtain using compressed sensing in time domain 12) . The channel estimation is explain in section 4 where each entries ofĤ (up) was obtained using compressed sensing based impulse response estimator.…”

Section: Primary Layer Ldm Decodermentioning

confidence: 99%

“…At first, using the received pilots, the channel can be estimated using compressed sensing 12) . And then, diversity combined signal using STBC decoding can be represented by,x secondary layerb can be obtained as,…”

Section: Fig 5 Receiver Configurationmentioning

confidence: 99%

“…A sparse can be defined as a vector where most entries are zero and only few are non-zero. The sparse information that we are going to estimate is the channel impulse response (CIR) 12) . The CS equation can be defined as…”

Section: Channel Estimation Using Compressed Sensingmentioning

confidence: 99%

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[Paper] Partial Layered Division Multiplexing with STBC for ISDB-T and Next Generation DTTB Systems

Paderna

Hou

Thang

et al. 2018

MTA

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In order to realize next generation digital terrestrial television broadcasting (DTTB) systems, the currently deployed Integrated Services Digital Broadcasting Terrestrial (ISDB-T) is still essential due to the spectrum-scarcity. This paper proposes a layered division multiplexing (LDM) scheme to simultaneously transmit ISDB-T stream and a secondary data stream over a common frequency band. The next generation DTTB system can be obtained by combining the ISDB-T and the secondary data streams. In the proposed scheme, we deploy the primary layer for transmission of ISDB-T signal and the secondary layer for transmission of secondary data stream both employed space time block coding. In addition, we only adopt partial LDM to reduce the interference between two systems, since the transmission capacity of the secondary layer exceeded the minimum requirement due to reuse of primary layer.

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Section: Primary Layer Ldm Decodermentioning

confidence: 99%

Section: Fig 5 Receiver Configurationmentioning

confidence: 99%

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[Paper] Partial Layered Division Multiplexing with STBC for ISDB-T and Next Generation DTTB Systems

Paderna

Hou

Thang

et al. 2018

MTA

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“…However, since the pilot signals are assigned on the different time slot, the channel identify property is highly depended on the time synchronization. Virtual oversampling method is also proposed [9]. This method can identify the CSI on the time domain with virtual oversampling to deal with the fractional delay without increasing the signal bandwidth.…”

Section: Introductionmentioning

confidence: 99%

Channel compensation with virtual pilot signal and time-frequency interferometry for MIMO-OFDM

Okamura

Ahn

2018

NOLTA

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MIMO has been recognized as a promising way to provide high speed data transmission. However, since the number of pilot symbols is proportionally depending on the number of transmit antenna, the total transmission rate of MIMO would be degraded. To solve this problem, the channel estimation method using virtual pilot signal (VPS) with a few pilot signals has been proposed. However, since the conventional method identifies the channel state information (CSI) iteratively, the complexity is a seriously considerable work. Previously, we have proposed the time-frequency interferometry (TFI)-OFDM to achieve a superior BER performance with a small number of pilot symbols without any iterative channel estimation. However, the TFI method is still needed a large number of pilot signals. To mitigate the problem of the TFI method, in this paper, we propose a novel channel compensation method based on VPS and TFI for MIMO without increasing the system complexity. The proposed method has a low complexity with improving BER performance to compare with the conventional method. From the simulation results, the proposed method can achieve the improved BER performance of 1.5dB gain compared with the conventional method for 4 × 4 and 8 × 8 MIMO systems.

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“…As proposed in [5] and [6], one of the ways to evaluate the performance of the modulation is to plot the BER (Bit Error Rate) by E b /N o curve. This work proposes to perform BER (Bit Error Rate) measurements by varying the E b /N o through a digital TV signal transmitter, in order to verify the relation of the parameters that are flexible in the ISDB-Tb standard with the BER measured by the receiver.…”

Section: Introductionmentioning

confidence: 99%

Transport Stream Files Assembling and Analysis of BER Performance into ISDB-Tb Standard

Raizer¹,

Toccolin²,

Fonseca³

2017

SET IJBE

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Abstract-This work presents a technique for assembling a TS (Transport Stream) file, in accordance with the ISDB-Tb (Integrated Services Digital Broadcasting Terrestrial Brazilian) standard, in order to transmit it through a digital TV signal generator to analyze the parameters variation effects of the ISDB-Tb system in the BER (Bit Error Rate) performance. For this analysis, measurements were taken in three different communication channels, with distinct features. In each channel, the 16QAM and 64QAM modulations were evaluated, and several combinations were tested among the following parameters: operating mode, code rate, guard interval and time interleaving. Also, BER measurements were taken for a C/N (Carrier to Noise) range, set from transmitter, then the Eb/No ratio was calculated, which allowed to plot curves for each measure.

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Low-Complexity Compressed Sensing-Based Channel Estimation With Virtual Oversampling for Digital Terrestrial Television Broadcasting

Cited by 10 publications

References 25 publications

[Paper] Partial Layered Division Multiplexing with STBC for ISDB-T and Next Generation DTTB Systems

[Paper] Partial Layered Division Multiplexing with STBC for ISDB-T and Next Generation DTTB Systems

Channel compensation with virtual pilot signal and time-frequency interferometry for MIMO-OFDM

Transport Stream Files Assembling and Analysis of BER Performance into ISDB-Tb Standard

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