Abstract: Aspects of a method and system for decoding single antenna interference cancellation (SAIC) and redundancy processing adaptation using burst process are provided. A wireless receiver may decode bit sequences based on a first decoding algorithm that may utilize redundancy in the data and that may impose physical constraints. The receiver may also decode a received bit sequence based on a second decoding algorithm that utilizes SAIC. Received data may be processed in a burst process portion in either decoding algorithm. Burst processed data from one of the decoding algorithms may be selected based on signal-to-noise ratio and/or received signal level measurements. The selected burst processed data may be communicated to a frame processing portion of the corresponding decoding algorithm.

Abstract: A baseband processing module includes an RX interface, a rake receiver combiner module, and may include additional components. The RX interface receives the baseband signals from an RF front end and creates baseband RX signal samples there from. The rake receiver combiner module includes control logic, an input buffer, a rake despreader module, and an output buffer. The rake despreader module is operable to despread the baseband RX signal samples in a time divided fashion to produce channel symbols including pilot channel symbols and physical channel symbols.

Abstract: Aspects of a method and system for decoding single antenna interference cancellation (SAIC) and redundancy processing adaptation using burst process are provided. A wireless receiver may decode bit sequences based on a first decoding algorithm that may utilize redundancy in the data and that may impose physical constraints. The receiver may also decode a received bit sequence based on a second decoding algorithm that utilizes SAIC. Received data may be processed in a burst process portion in either decoding algorithm. Burst processed data from one of the decoding algorithms may be selected based on signal-to-noise ratio and/or received signal level measurements. The selected burst processed data may be communicated to a frame processing portion of the corresponding decoding algorithm.

Abstract: Aspects of a method and system for decoding single antenna interference cancellation (SAIC) and redundancy processing adaptation using burst process are provided. A wireless receiver may decode bit sequences based on a first decoding algorithm that may utilize redundancy in the data and that may impose physical constraints. The receiver may also decode a received bit sequence based on a second decoding algorithm that utilizes SAIC. Received data may be processed in a burst process portion in either decoding algorithm. Burst processed data from one of the decoding algorithms may be selected based on signal-to-noise ratio and/or received signal level measurements. The selected burst processed data may be communicated to a frame processing portion of the corresponding decoding algorithm.

Abstract: A processing module produces improved main channel estimate. This process involves initially estimating the channel impulse response. This result is based on and combined with a known sequences such as that provided by training sequences of the midamble within RF bursts. From this combination, it is possible to produce an estimated signal from a convolution of the channel impulse response and midamble. The estimated signal may be cancelled or subtracted from the received signal to produce a clearer image of the disturber signal. A blind data recovery performed upon the disturber signal. The recovered disturber data may be used as a reference for disturber channel estimation in order to produce a disturber channel impulse response. With the estimated disturber channel impulse response and the recovered disturber data, an estimated disturber signal may be reconstructed and subtracted from the received signal. This allows the cancellation of the estimated disturber signal.

Abstract: Adaptive interference cancellation algorithm using speech mode dependent thresholds. A method of processing radio frequency (RF) bursts dependent on a speech mode associated with data contained within the RF burst is presented. Different voice modes, full rate, half rate, and adaptive multi-channel rates each may require different signal to noise ratio (SNR) conditions in order to be successfully processed. To improve the equalization, the SNR associated with the burst is estimated. Based on the SNR or other related conditions, a decision can be made as to whether or not an interference cancellation burst process should be implemented. For example, any one or more of SNR of the signal, a measure of colored noise within the signal, an indication whether the signal being noise limited or interference limited, and a channel profile of the signal may indicate the presence of interference requiring the cancellation of such interference.

Abstract: Aspects of a method and system for decoding single antenna interference cancellation (SAIC) and redundancy processing adaptation using frame process are provided. A receiver may decode video, voice, and/or speech bit sequences based on a first decoding algorithm that may utilize data redundancy and that may impose physical constraints. The receiver may also decode a bit sequence based on a second decoding algorithm that utilizes SAIC. The first and second decoding algorithms may be adapted to perform in parallel and a decoded received bit sequence may be selected based on a redundancy verification parameter. The first and second decoding algorithms may also be adapted to be performed sequentially where the subsequent decoding operation may be conditioned to the initial decoding operation. Moreover, either the first or the second decoding algorithm may be selected for decoding the received bit sequence. The selection may be based on noise and/or interference measurements.

Abstract: Aspects of a method and system for decoding single antenna interference cancellation (SAIC) and redundancy processing adaptation using frame process are provided. A receiver may decode video, voice, and/or speech bit sequences based on a first decoding algorithm that may utilize data redundancy and that may impose physical constraints. The receiver may also decode a bit sequence based on a second decoding algorithm that utilizes SAIC. The first and second decoding algorithms may be adapted to perform in parallel and a decoded received bit sequence may be selected based on a redundancy verification parameter. The first and second decoding algorithms may also be adapted to be performed sequentially where the subsequent decoding operation may be conditioned to the initial decoding operation. Moreover, either the first or the second decoding algorithm may be selected for decoding the received bit sequence. The selection may be based on noise and/or interference measurements.

Abstract: Equalizer training method using re-encoded bits and known training sequences. A multi-branch equalizer processing module is operable to cancel interference associated with received radio frequency (RF) burst(s) (e.g., using at least a first equalizer processing branch and a second equalizer processing branch). The first equalizer processing branch is operable to be trained based upon known training sequences and to equalize the received RF burst. The second equalizer processing branch uses at least partially re-encoded data bits to train linear equalizer(s) within the second equalizer processing branch. A buffer may initially store the received RF burst(s), which are retrieved and equalized by the second equalizer processing branch once the linear equalizer(s) are trained. The cooperation operation of these and other various components allows interfering signals to be cancelled and for more accurate processing of the received RF bursts to occur.

Abstract: Adaptive interference cancellation algorithm using speech mode dependent thresholds. A method of processing radio frequency (RF) bursts dependent on a speech mode associated with data contained within the RF burst is presented. Different voice modes, full rate, half rate, and adaptive multi-channel rates each may require different signal to noise ratio (SNR) conditions in order to be successfully processed. To improve the equalization, the SNR associated with the burst is estimated. Based on the SNR or other related conditions, a decision can be made as to whether or not an interference cancellation burst process should be implemented. For example, any one or more of SNR of the signal, a measure of colored noise within the signal, an indication whether the signal being noise limited or interference limited, and a channel profile of the signal may indicate the presence of interference requiring the cancellation of such interference.

Abstract: Aspects of a method and system for decoding single antenna interference cancellation (SAIC) and redundancy processing adaptation using burst process are provided. A wireless receiver may decode bit sequences based on a first decoding algorithm that may utilize redundancy in the data and that may impose physical constraints. The receiver may also decode a received bit sequence based on a second decoding algorithm that utilizes SAIC. Received data may be processed in a burst process portion in either decoding algorithm. Burst processed data from one of the decoding algorithms may be selected based on signal-to-noise ratio and/or received signal level measurements. The selected burst processed data may be communicated to a frame processing portion of the corresponding decoding algorithm.

Abstract: A channel dispersion estimation algorithm(s) may be implemented within a channel length estimation module of a multi-branch equalizer processing module that disables a branch of the multi-branch equalizer processing module when the channel length or channel delay spread associated with received radio frequency (RF) bursts exceeds a predetermined threshold. The channel dispersion estimation algorithm identifies when the radio frequency (RF) bursts have a channel length or channel delay spread that can affect receiver performance. The channel length estimation module may disable interference cancellation by a branch of the multi-branch equalizer processing module in response to such a channel length or channel delay spread.

Abstract: Aspects of a method and system for decoding single antenna interference cancellation (SAIC) and redundancy processing adaptation using frame process are provided. A receiver may decode video, voice, and/or speech bit sequences based on a first decoding algorithm that may utilize data redundancy and that may impose physical constraints. The receiver may also decode a bit sequence based on a second decoding algorithm that utilizes SAIC. The first and second decoding algorithms may be adapted to perform in parallel and a decoded received bit sequence may be selected based on a redundancy verification parameter. The first and second decoding algorithms may also be adapted to be performed sequentially where the subsequent decoding operation may be conditioned to the initial decoding operation. Moreover, either the first or the second decoding algorithm may be selected for decoding the received bit sequence. The selection may be based on noise and/or interference measurements.

Abstract: The present invention provides a method of processing radio frequency (RF) bursts dependent on a speech mode associated with data contained within the RF burst. Different voice modes, full rate, half rate, and adaptive multi-channel rates each may require different signal to noise ratio (SNR) conditions in order to be successfully processed. To improve the equalization of the received RF burst(s), the SNR associated with the burst is estimated. Then based on the SNR or other related conditions (i.e. the presence or absence of colored noise, and the estimated channel profile) a decision can be made as to whether or not an interference cancellation burst process should be implemented.

Abstract: Aspects of a method and system for decoding single antenna interference cancellation (SAIC) and redundancy processing adaptation using burst process are provided. A wireless receiver may decode bit sequences based on a first decoding algorithm that may utilize redundancy in the data and that may impose physical constraints. The receiver may also decode a received bit sequence based on a second decoding algorithm that utilizes SAIC. Received data may be processed in a burst process portion in either decoding algorithm. Burst processed data from one of the decoding algorithms may be selected based on signal-to-noise ratio and/or received signal level measurements. The selected burst processed data may be communicated to a frame processing portion of the corresponding decoding algorithm.

Abstract: An HSDPA rake receiver has a plurality of rake fingers. Different channels may experience different spreading factors. The channel estimate (CE) and the CE delay may be affected and depend on the spreading factor. The CE delay is related to the individual rake finger output buffer size. According to the structure of the present invention, an adaptive channel estimate delay that depends on the spreading factor may result in improved performance.

Abstract: A baseband processing module includes an RX interface, a rake receiver combiner module, and may include additional components. The RX interface receives the baseband signals from an RF front end and creates baseband RX signal samples there from. The rake receiver combiner module includes control logic, an input buffer, a rake despreader module, and an output buffer. The rake despreader module is operable to despread the baseband RX signal samples in a time divided fashion to produce channel symbols including pilot channel symbols and physical channel symbols.

Abstract: A Space Time Transmit Diversity (STTD) Decoder includes a physical channel despreader, a delay buffer, an upper processing branch, a lower processing branch and a combiner. The upper processing branch is operable to apply a conjugate of a first channel estimate to the delay buffer symbol output and produce non STTD encoded symbols. The lower processing branch is operable to read delayed delay buffer symbol outputs and apply a conjugate of a second channel estimate when active in the STTD mode. The lower processing branch then may apply an STTD decoder scheme to the delay buffer symbol output to produce non STTD encoded symbols. The combiner then combines the non STTD encoded symbols of the upper processing branch and non STTD encoded symbols of the lower processing branch to produce a single set of non STTD encoded symbols.

Abstract: The present invention provides a equalizer processing module operable to cancel interference associated with received radio frequency (RF) burst(s). This equalizer processing module includes a first equalizer processing branch and an optional second equalizer processing branch. The first equalizer processing branch is operable to be trained by applying a recursive DMI process such as a Levison algorithm, based upon known training sequences and equalize the received RF burst. This results in soft samples or decisions which in turn may be converted to data bits. The soft samples are processed with a de-interleaver and channel decoder, where the combination is operable to produce a decoded frame of data bits from the soft samples. This allows interfering signals to be cancelled and more accurate processing of the received RF bursts to occur.

Abstract: A baseband processing module includes an RX interface, a rake receiver combiner module, and may include additional components. The RX interface receives the baseband signals from an RF front end and creates baseband RX signal samples there from. The rake receiver combiner module includes control logic, an input buffer, a rake despreader module, and an output buffer. The rake despreader module is operable to despread the baseband RX signal samples in a time divided fashion to produce channel symbols including pilot channel symbols and physical channel symbols.