Implementation-friendly synchronisation algorithm for DVB-T2

Timing and carrier synchronization is a fundamental requirement for any wireless communication system to work properly. Timing synchronization is the process by which a receiver node determines the correct instants of time at which to sample the incoming signal. Carrier synchronization is the process by which a receiver adapts the frequency and phase of its local carrier oscillator with those of the received signal. In this paper, we survey the literature over the last 5 years (2010)(2011)(2012)(2013)(2014) and present a comprehensive literature review and classification of the recent research progress in achieving timing and carrier synchronization in single-input single-output (SISO), multiple-input multiple-output (MIMO), cooperative relaying, and multiuser/multicell interference networks. Considering both single-carrier and multi-carrier communication systems, we survey and categorize the timing and carrier synchronization techniques proposed for the different communication systems focusing on the system model assumptions for synchronization, the synchronization challenges, and the state-of-the-art synchronization solutions and their limitations. Finally, we envision some future research directions.

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“…sel. Yes No Pilot Both Both No [190] AWGN N/A N/A Pilot Both Both No [131], [141], [161], [172] Freq. sel.…”

Section: Siso Systemsmentioning

confidence: 99%

Timing and carrier synchronization in wireless communication systems: a survey and classification of research in the last 5 years

Nasir

Durrani

Mehrpouyan

et al. 2016

J Wireless Com Network

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“…In the receiver, timing synchronization and fractional CFO estimation can be achieved by a modified GIC method based on the C-A-B structure [11]. After the fractional CFO is compensated, the part 'A' of the P1 symbol is extracted and transformed to the DFT domain for integer CFO estimation and signalling detection.…”

Section: B Detection Of the P1 Symbolmentioning

confidence: 99%

“…In the receiver, the same GIC method given in [11] can be applied for timing synchronization and fractional CFO estimation. Since the P1 symbol and proposed preambles have identical time-domain structure, a similar performance in timing and fractional CFO estimation can be expected for the both designs.…”

Section: B Detection Of the Proposed Preamblementioning

confidence: 99%

“…Unlike conventional preambles which are designed merely for timing and frequency synchronization [9], [10], the P1 symbol also transmits the basic transmission parameter signalling (TPS), including the FFT size and SISO/MISO mode [5]. In the time domain, a novel cyclic extension structure is adopted to sharpen the peak of the GI correlation (GIC) for better timing synchronization [11]. In the discrete Fourier transform (DFT) domain, a length-384 sequence carrying 7-bit signalling is modulated into the distributed carrier pattern.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Preamble Design for OFDM Transmission Parameter Signalling

Hanzo

Yang

et al. 2011

2011 IEEE International Conference on Communications (ICC)

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Abstract-A novel preamble design is proposed for orthogonal frequency division multiplexing systems, which exploits the variable distance between a pair of training sequences for the transmission parameter signalling. Compared to the existing P1-symbol based preamble for the second generation digital terrestrial television broadcasting standard, the proposed design maintains the high performance and robustness in timing and carrier frequency offset estimation while significantly reducing the signalling detection complexity. Simulation results demonstrate that the proposed preamble achieves a better signalling detection performance than the standardized P1 symbol design.

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“…Meanwhile, an autocorrelation (denoted as trapezoid correlation) is adopted for preamble detection [6], which cannot achieve good timing synchronization performance [11]. Hence, an improved autocorrelation implementation (denoted as triangle correlation) is proposed to increase the timing accuracy [12]. Unfortunately, the triangle correlation based preamble detection also suffers from obvious performance loss over multipath channels.…”

Section: Introductionmentioning

confidence: 99%

Robust Preamble Design for Synchronization, Signaling Transmission, and Channel Estimation

Gao

Zhang

Hanzo

2015

IEEE Trans. on Broadcast.

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Abstract-The European second generation digital video broadcasting standard (DVB-T2) introduces a P1 symbol. This P1 symbol facilitates the coarse synchronization and carries 7-bit transmission parameter signaling (TPS), including the fast Fourier transform size, single-input/single-output and multipleinput/single-output transmission modes, etc. However, this P1 symbol suffers from obvious performance loss over fading channels. In this paper, an improved preamble scheme is proposed, where a pair of optimal m sequences are inserted into the frequency domain. One sequence is used for carrier frequency offset (CFO) estimation, and the other carries TPS to inform the receiver about the transmission configuration parameters. Compared with the conventional preamble scheme, the proposed preamble improves CFO estimation performance and the signaling capacity. Meanwhile, without additional overhead, the proposed scheme exploits more active pilots than the conventional schemes. In this way, it can facilitate the channel estimation, improve the frame synchronization accuracy as well as enhance its robustness to frequency selective fading channels.

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Implementation-friendly synchronisation algorithm for DVB-T2

Cited by 16 publications

References 0 publications

Timing and carrier synchronization in wireless communication systems: a survey and classification of research in the last 5 years

Timing and carrier synchronization in wireless communication systems: a survey and classification of research in the last 5 years

A Novel Preamble Design for OFDM Transmission Parameter Signalling

Robust Preamble Design for Synchronization, Signaling Transmission, and Channel Estimation

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