Abstract:
A method for suppressing interference in a wireless communication comprises receiving a burst of symbols, filtering the burst of symbols using an interference suppression filter with a first plurality of weights, decoding the filtered burst of symbols to generate data corresponding to the burst of symbols, encoding the data to generate a re-encoded burst of symbols, calculating a second plurality of weights for the interference suppression filter based upon the re-encoded burst of symbols, filtering the re-encoded burst of symbols using the interference suppression filter with the second plurality of weights, and decoding the filtered re-encoded burst of symbols.
Abstract:
Systems and methods of receiving data in a communication system are disclosed. The methods include equalizing a plurality of samples to suppress intersymbol interference and provide a first set of detected bits based on a first set of reference bits comprising a training sequence on a first iteration. The methods further include suppressing co-channel interference in the plurality of input samples and provide a set of suppressed samples based on a second set of reference bits comprising the first set of detected bits on a second iteration. The methods further include equalizing the set of suppressed samples to suppress intersymbol interference and provide a second set of detected bits based on the second set of reference bits on the second iteration.
Abstract:
A method for timing and frequency synchronization in a wireless system is provided. The method comprises the steps of receiving a burst of symbols, selecting a subset of the burst of symbols, iteratively adjusting the subset of the burst of symbols by a plurality of timing offsets and calculating, for each timing offset, a first performance metric corresponding to the adjusted subset. The method further comprises the steps of determining one of the plurality of timing offsets to be a preferred timing offset based upon the first performance metric thereof, iteratively rotating the subset of the burst of symbols by a plurality of frequency offsets and calculating, for each frequency offset, a second performance metric corresponding to the rotated subset, and determining one of the plurality of frequency offsets to be a preferred frequency offset based upon the second performance metric thereof.
Abstract:
A multi-stage interference suppression receiver includes a short equalizer section configured to operate on a first portion of a received signal received over a channel to produce a first equalized signal and a first estimate of the channel, a channel estimator section configured to operate on the first equalized signal to produce a second equalized signal, the channel estimator section comprising a linear estimator and a non-linear estimator, a long equalizer section configured to operate on a second portion of the received signal to produce a first estimate of symbols in the received signal and a second estimate of the channel and an interference canceller section configured to operate on the first estimate of symbols in the received signal to generate a second estimate of symbols in the received signal based on, at least in part, the second estimate of the channel.
Abstract:
A method for midamble estimation comprises the steps of receiving a burst of symbols, selecting a subset of the burst of symbols that comprises a first midamble symbol, calculating, for each symbol in the subset, a corresponding midamble estimation error, and determining the lowest calculated midamble estimation error to locate the first midamble symbol. A receiver comprises an antenna configured to receive a burst of symbols, a timing estimator configured to select a subset of the burst of symbols that comprises a first midamble symbol, a midamble estimator configured to calculate, for each symbol in the subset, a corresponding midamble estimation error, and a processor configured to select the symbol in the subset corresponding to a lowest calculated midamble estimation error as the first midamble symbol.
Abstract:
A novel symbol estimation method produces intersymbol interference free symbols by detecting interfering symbols in an interfering channel. A channel estimate is refined for additional improvements. The method can lends itself as a serial or parallel algorithm implementation. The symbol estimation method includes using an initial estimate of received symbols and calculating a refined estimate of the received symbols using a channel estimate. The refined estimate is calculated by performing parameterization of intersymbol interference by symbols other than the symbol being refined and selecting a refined value for the symbol being refined by evaluating an optimization function. Symbol estimates are refined in multiple iterations, until a pre-determined iteration termination criterion is met. Parameterization of ISI contribution of other symbols results in reduced computation by reducing total number of unknown variables in the refinement operation.
Abstract:
Estimating an unknown frequency error of a tone signal comprises sampling (1704), within an error bandwidth, wireless signals including the tone signal that occupy the error bandwidth to generate signal samples, and repeatedly (1720), for different frequency offsets: applying a frequency offset to the signal samples to produce offset values that represent the signals occupying an offset bandwidth equal to the error bandwidth offset by an offset frequency (1708); estimating, within a frequency estimation range less than the error bandwidth, a tone frequency error using the offset values (1712); and measuring a signal - to - noise ratio of the tone signal using the signal samples and the estimated tone frequency error (1716). When a particular frequency offset results in a particular estimated tone frequency error and a measured signal - to - noise ratio that is above a threshold, that particular estimated tone frequency error is determined to be equal to the unknown frequency error of the tone signal (1724).
Abstract:
Methods are provided that optimize Voice over Adaptive Multi-user channels on One Slot (VAMOS) communications by recognizing that up to four independent communications are located on the same device, and assigning them to sub-channels of the same VAMOS channel. A VAMOS-capable multi-SIM wireless device such as a dual-SIM dual active (DSDA) device may have up to four simultaneous active calls on the same access network. When assigned to the same VAMOS channel, the up to four active calls may be merged to all use the same radio on the device.
Abstract:
A method is provided for conserving power on a wireless communication device having multi-subscription capabilities. Instead of scanning different paging channels for each of a plurality of subscriptions, power may be conserved by using a single paging channel from a serving access network for all paging messages from the plurality of subscriptions. The wireless communication device may provide a serving access network information for the plurality of subscriptions, where each of the plurality of subscriptions is associated with a different paging channel. The serving access network may select or obtain a single paging channel for all paging messages from different core networks associated with the plurality of subscriptions. The wireless communication device may be informed of the selected paging channel by the access network so it monitors for paging messages for all subscriptions on that selected paging channel only.
Abstract:
The various embodiments include a dual-SIM-dual-active (DSDA)device and methods for implementing robust transmit (Tx) processing to resolve radio frequency coexistence interference between two subscriptions operating on the DSDA device. The DSDA device may detect when one subscription (the "aggressor") de-senses the other subscription (the "victim") as a result of the aggressor's transmissions, and in response, implement robust Tx processing to mitigate the effects of de-sense on the victim.