A gaussian frequency shift keying (GFSK) detector comprising a multi-symbol detector; at least three Viterbi decoders, and a timing adjustment module. The multi-symbol detector receives a series of samples representing a received GFSK modulated signal which comprises at least three samples per symbol; and generates, for each set of samples representing an N-symbol sequence of the GFSK modulated signal, at least three sets of soft decisions values, each set of soft decision values indicating the probability that the N-symbol sequence of samples is each possible N-symbol pattern based on a different one of the at least three samples of a symbol being a centre sample of the symbol. Each Viterbi decoder generates, for each N-symbol sequence, a path metric for each possible N-symbol pattern from a different set of soft decision values according to a Viterbi decoding algorithm. The timing adjustment module generates a timing adjustment signal based on the path metrics generated by the Viterbi decoders to adjust the sample timing.

A method (50) for estimating a frequency shift and a frequency drift affecting a useful signal including a code word formed by a channel encoder, including an analysis phase (51) including: for two analysis frequency drifts: a compensation (52) of the analysis frequency drift on the useful signal, an estimation (53) of the frequency shift on each useful signal obtained after compensation, a selection (54) of frequency hypotheses, and an estimation phase (55) including: for each frequency hypothesis: a frequency recalibration (56) of the useful signal depending on the frequency hypothesis, in order to obtain sample sequences, an evaluation (57) of the probability of each sample sequence to be a code word of said channel encoder, an estimation (58) of the frequency shift and of the frequency drift depending on the most probable frequency hypothesis.

The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). A method of determining a frequency-domain offset parameter of a preamble in a random access channel and a corresponding user equipment (UE) is provided. The method includes obtaining a random access channel subcarrier spacing Δf.sub.RA, a preamble length L.sub.RA and a uplink (UL) channel subcarrier spacing Δf from a base station and determining a frequency-domain offset parameter k of a preamble in a random access channel based on the obtained random access channel subcarrier spacing Δf.sub.RA, preamble length L.sub.RA and UL channel subcarrier spacing Δf. Other embodiments of the disclosure further provide a random access method, a method for configuring random access information and related device, and a corresponding computer readable medium.

A method improves the transmission quality between a data collector and a plurality of metering units. A first communication module is assigned to the data collector and a second communication module is assigned in each case to a metering unit. The second communication module transmits data via radio signals to the first communication module. The first communication module has a first frequency reference device and the second communication module has a second frequency reference device. The radio signals transmitted are dependent on the second frequency reference device. The measurement of a parameter of the radio signal is performed by the first communication module. An estimation of an error of the second frequency reference device on the basis of the parameter measured values is determined. An adjustment of the frequency of the first frequency reference device is performed such that the error is reduced.

A method (50) for estimating a frequency shift and a frequency drift affecting a useful signal including a code word formed by a channel encoder, including an analysis phase (51) including: for two analysis frequency drifts: a compensation (52) of the analysis frequency drift on the useful signal, an estimation (53) of the frequency shift on each useful signal obtained after compensation, a selection (54) of frequency hypotheses, and an estimation phase (55) including: for each frequency hypothesis: a frequency recalibration (56) of the useful signal depending on the frequency hypothesis, in order to obtain sample sequences, an evaluation (57) of the probability of each sample sequence to be a code word of said channel encoder, an estimation (58) of the frequency shift and of the frequency drift depending on the most probable frequency hypothesis.

An ultra-low power data transmission method and apparatus are disclosed. An ultra-low power data transmission method to be performed by a user terminal of an ultra-low power data transmission system includes performing channel coding on a payload included in a transmission packet; interleaving a payload obtained through the channel coding, spreading the interleaved payload using a gold code and an orthogonal variable spreading factor (OVSF), combining a synchronization header spread using the gold code and the OVSF with the spread payload, and modulating a transmission packet in which the payload and the synchronization header are combined.

A gaussian frequency shift keying (GFSK) detector comprising a multi-symbol detector; at least three Viterbi decoders, and a timing adjustment module. The multi-symbol detector receives a series of samples representing a received GFSK modulated signal which comprises at least three samples per symbol; and generates, for each set of samples representing an N-symbol sequence of the GFSK modulated signal, at least three sets of soft decisions values, each set of soft decision values indicating the probability that the N-symbol sequence of samples is each possible N-symbol pattern based on a different one of the at least three samples of a symbol being a centre sample of the symbol. Each Viterbi decoder generates, for each N-symbol sequence, a path metric for each possible N-symbol pattern from a different set of soft decision values according to a Viterbi decoding algorithm. The timing adjustment module generates a timing adjustment signal based on the path metrics generated by the Viterbi decoders to adjust the sample timing.

To optimally receive smart meter control messages transmitted by a concentrator, in a meter having a transceiver for bidirectional data interchange, despite its minimal resources, a current modulation reference frequency which is subject to drift is shifted by the instantaneous frequency difference between the current transmitter-side reference frequency and the current transceiver-side reference frequency in the concentrator. Therefore, the current reference frequencies correspond in the downlink without having to intervene in the meter. This frequency difference in the concentrator is obtained by comparing the current receiver-side demodulation reference frequency with the current transmitter-side reference frequency, and the current transceiver-side reference frequency, on the other hand, from messages from the transmitter of the concentrator and from the transceiver of the meter which are received using the receiver of the concentrator. A frequency-measuring comparator only needs to be connected upstream and downstream of the demodulator in the concentrator for this purpose.

A Gaussian frequency shift keying (GFSK) detector for decoding a GFSK signal. The detector includes: a multi-symbol detector and a Viterbi decoder. The multi-symbol detector is configured to: receive a series of samples representing a received GFSK modulated signal; and generate, for each set of samples representing an N-symbol sequence of the GFSK modulated signal, a plurality of soft decision values that indicate the probability that the N-symbol sequence is each possible N-symbol pattern, wherein N is an integer greater than or equal to two. The Viterbi decoder is configured to estimate each N-symbol sequence using a Viterbi decoding algorithm wherein the soft decision values for the N-symbol sequence are used as branch metrics in the Viterbi decoding algorithm.

A gaussian frequency shift keying (GFSK) detector comprising a multi-symbol detector; at least three Viterbi decoders, and a timing adjustment module. The multi-symbol detector receives a series of samples representing a received GFSK modulated signal which comprises at least three samples per symbol; and generates, for each set of samples representing an N-symbol sequence of the GFSK modulated signal, at least three sets of soft decisions values, each set of soft decision values indicating the probability that the N-symbol sequence of samples is each possible N-symbol pattern based on a different one of the at least three samples of a symbol being a centre sample of the symbol. Each Viterbi decoder generates, for each N-symbol sequence, a path metric for each possible N-symbol pattern from a different set of soft decision values according to a Viterbi decoding algorithm. The timing adjustment module generates a timing adjustment signal based on the path metrics generated by the Viterbi decoders to adjust the sample timing.