Enhanced sampling clock offset correction based on time domain estimation scheme

Robust Sampling Clock Recovery Algorithm for Wideband Networking Waveform of SDR

“…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.…”

“…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.…”

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

“…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.…”

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

“…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.…”