Mstar Semiconductor, Inc.

Mstar France Sas

Mstar Software R&d, Ltd.

Mediatek Corporation

Mstar Software R&d (shenzhen) Ltd.

Navid Fatemi-Ghomi

Cyril Valadon

Aiguo Yan

Carsten Aagaard Pedersen

James Chapman

Jason Taylor

Manuel Segovia-Martinez

Simon Richardson

A Viterbi trellis processing technique in which soft decisions and hard decisions are derived from a received signal and the soft decisions are enhanced by being modified using the hard decisions. A log likelihood ratio for a bit of the received signal can be derived by grouping candidate metrics associated with the decision that the bit has a first state, grouping candidate metrics associated with the decision that the bit has a second state, applying respective functions to the groups and calculating the difference of the function values.

Soft decision enhancement

A wireless receiver uses a joint detection Viterbi (JDV) algorithm to demodulate a signal that has a desired signal component and an interference signal component. The desired signal component includes a training sequence and at least one data field. The training sequence and a corresponding portion of the interference signal component is demodulated using the JDV algorithm to evaluate possible transmitted training sequences and interference signal sequences, and channel estimations for the desired signal component and the interference signal component are generated. The at least one data field is demodulated according to the JDV algorithm using the channel estimations as initial channel estimates for the JDV algorithm.

Receiver architecture

A scheme for deducing a DC offset in a received signal burst acquired through a particular channel, wherein the received signal burst corresponds to a transmitted signal burst. An impulse response estimate of the channel is used to model how a known or recovered part of the transmitted burst would have been affected by passage through said channel in place of the corresponding part of the transmitted signal burst. The modelled part of the transmitted burst is then compared with the corresponding part of the received signal burst to deduce a DC offset present in the received signal burst.

DC offset estimation in received signals

A communications signal is received through a propagation channel, down-converted in frequency and then converted into a digital signal. The samples of the digital signal are processed to estimate the information conveyed by the communications signal. The estimated information is then used with knowledge about the propagation channel to model the samples of the digital signal. The modeled samples are compared with actual samples of the digital signal to deduce phase errors in the digital signal. The phase errors are then used to deduce a frequency error in the digital signal that can be used to correct the samples of the digital signal and to correct the down-conversion process.

Frequency error correction by using remodulation

A telecommunications network participant, comprising means for digitising, as a series of samples, a received signal containing a succession of symbols, means for measuring time misalignment between the symbols and the samples and means for applying a fractional delay to the positions of the samples to reduce the misalignment.

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Surrey, United Kingdom

Navid Fatemi-Ghomi