Enhanced sampling clock offset correction based on time domain estimation scheme

Ai, Bo; Shen, Yuyao; Zhang, Zhong; Zhang, B. H.

doi:10.1109/tce.2011.5955210

Cited by 25 publications

(7 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to thermal drift, this sampling clock frequency offset will also change slowly in time [5]. A time domain-based sampling clock offset estimation and correction algorithm is presented in [6]. This algorithm is more specific to Orthogonal Frequency Division Multiplexing (OFDM) systems.…”

Section: Related Workmentioning

confidence: 99%

“…An algorithm based on Sample Point Reordering (SPR) is proposed in [9] but it assumes sampling clock inaccuracies of up to only 12 ppm and the performance is affected if the amount of frequency offset present in the received signal is large. The algorithms given in [6]- [9] provide SCO estimate only and do not explain the method of proper SCO compensation for high data rate systems.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Robust Sampling Clock Recovery Algorithm for Wideband Networking Waveform of SDR

Zeeshan

Khan²

2022

Int. j. commun. netw. inf. secur.

View full text Add to dashboard Cite

A novel technique for sampling clock recovery in a wideband networking waveform of a software defined radio is proposed. Sampling clock recovery is very important in wideband networking radio operation as it directly affects the Medium Access adaptive time slot switching rate. The proposed Sampling clock recovery algorithm consists of three stages. In the first stage, Sampling Clock Offset (SCO) is estimated at chip level. In the second stage, the SCO estimates are post-filtered to improve the tracking performance. We present a new post-filtering method namely Steady-State State-Space Recursive Least Squares with Adaptive Memory (S4RLSWAM). For the third stage of SCO compensation, a feedforward Lagrange interpolation based algorithm is proposed. Real-time hardware results have been presented to demonstrate the effectiveness of the proposed algorithms and architecture for systems requiring high data throughput. It is shown that both the proposed algorithms achieve better performance as compared to existing algorithms.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Robust Sampling Clock Recovery Algorithm for Wideband Networking Waveform of SDR

Zeeshan

Khan²

2022

Int. j. commun. netw. inf. secur.

View full text Add to dashboard Cite

show abstract

“…The use of the basis expansion model (BEM) has received increasing attention for its ability to approximate the time-varying channel by linearly combining predefined basis functions [15][16][17][18][19][20]. The research results on channel estimation and synchronization [21][22][23] improved the performance of wireless communication in high-speed railway scenarios.…”

Section: Introductionmentioning

confidence: 99%

A novel channel prediction method for MIMO‐OFDM in high‐speed environment

Zhang

2021

IET Communications

View full text Add to dashboard Cite

The OFDM system with multiple transceiver antennas is attractive to increase the spectrum or energy efficiency. Depending on the channel state information (CSI), precoding techniques offer array and multiplexing gain in such systems. However, if terminal equipment is fast moving, the CSI feedback would be outdated when it is applied to data transmission. This paper proposes a novel channel prediction method applicable for high-speed environment. Benefiting from the proposed structure, this method greatly improves the prediction accuracy, and meanwhile retains the low feedback overhead. Numerical results show that the performance of the proposed method outperforms conventional precoding methods in high-speed scenarios.

show abstract

“…It should be noted that the latter is dominant and particular to LCTSs because transmitters and receivers exhibit a large mismatch with different ambient environments [5]. Consequently, various algorithms on sampling clock offset (SCO) detection and recovery have been researched; they can be categorised as data‐aided (preamble) and non‐data‐aided (blind) methods [6–8]. The cyclic‐prefix (CP) scheme can eliminate ISI in the time‐domain.…”

Section: Introductionmentioning

confidence: 99%

Joint SCMA and waveform optimisation for WPDM‐based logging cable telemetry systems under sampling clock offset

Cui

Shuang

2019

IET Communications

View full text Add to dashboard Cite

Enhanced sampling clock offset correction based on time domain estimation scheme

Cited by 25 publications

References 22 publications

Robust Sampling Clock Recovery Algorithm for Wideband Networking Waveform of SDR

Robust Sampling Clock Recovery Algorithm for Wideband Networking Waveform of SDR

A novel channel prediction method for MIMO‐OFDM in high‐speed environment

Joint SCMA and waveform optimisation for WPDM‐based logging cable telemetry systems under sampling clock offset

Contact Info

Product

Resources

About