Abstract:
A method and apparatus generating an error signal (156) and an update vector signal (124) used to generate filter tap coefficients (128) for an equalizer filter (130) residing in an equalizer (100). The equalizer filter (130) outputs an equalized signal (132) in response to receiving a sample data stream (102). The error signal (156) is generated by down-sampling (140) the equalized signal (132), subtracting (144) the equalized signal (132) from a reference signal (146) and filtering (150) and down-sampling (154) the resulting signal. Simultaneously, the update vector signal (124) is generated by converting scalar samples of the sample data stream (102) to a data vector signal (106) and descrambling 116, filtering (118), and down-sampling (122) the data vector signal (106). A tap coefficients generator (126) is used to generate the filter tap coefficients (128) for updating the equalizer filter (130) based on the error signal (156) and the update vector signal (124).
Abstract:
A block linear equalizer (BLE) using an approximate Cholesky decomposition is disclosed. The BLE includes channel estimators, a channel monitor unit, a noise power estimator, a parameter selection unit and an approximate Cholesky processor. The channel estimator generates a channel estimate vector from received samples. The channel monitor unit generates a first channel monitor signal for a truncated channel estimate vector and a second channel monitor signal. The noise power estimator estimates a noise power of the received samples. The parameter selection unit selects parameters for approximate Cholesky decomposition based on the first and second channel monitor signals. The approximate Cholesky processor performs block linear equalization on the received samples based on approximate Cholesky decomposition.
Abstract:
A method and apparatus for compensating for phase noise of symbols spread with a long spreading code are disclosed. To compensate for the phase noise, a phase error estimate is generated from despread symbols with a short spreading code. A phase correcting phasor is applied to chip rate data before despreading the data with a long spreading code. A signal-to-interference ratio (SIR) on a common pilot channel (CPICH) may be calculated by spreading the data with a parent spreading code in an orthogonal variable spreading factor (OVSF) code tree and by combining symbols. Alternatively, a magnitude of the symbols may be used in estimating the SIR. The SIR of a channel using a short spreading code and an SIR of a channel using a long spreading code are measured. The SIR of the channel with the long spreading code may be compensated in accordance with a difference between degradation of the SIRs.
Abstract:
An adaptive equalizer including an equalizer filter and a tap coefficients generator used to process a sample data stream derived from a plurality of received signals is disclosed. The tap coefficients generator includes an equalizer tap update unit, a vector norm square estimator, an active taps mask generator, a switch and a pilot amplitude reference unit used to minimize the dynamic range of the equalizer filter. A dynamic mask vector is used to mask active taps generated by the equalizer tap update unit when an unmasked signal output by the equalizer filter is selected by the switch to generate an error signal fed to the equalizer tap update unit. A fixed mask vector is used to mask active taps generated by the equalizer tap update unit when a masked signal output by the equalizer filter is used to generate the error signal.
Abstract:
A receiver which includes at least one equalizer filter and a tap coefficients generator for implementing receive diversity. The equalizer filter processes a signal derived from signals received by a plurality of antennas. In one embodiment, sample data streams from the antennas are merged into one sample data stream. The merged sample data stream is processed by a single extended equalizer filter, whereby filter coefficients are adjusted in accordance with a joint error signal. A filter coefficient correction term used by the equalizer filter is generated by the tap coefficients generator using a normalized least mean square (NLMS) algorithm. In another embodiment, a plurality of equalizer filters are utilized, whereby each equalizer receives a sample data stream from a specific one of the antennas. In yet another embodiment, the sample data streams are combined after being processed by a plurality of matched filters based on respective estimated channel impulse responses.
Abstract:
A method and apparatus for estimating and correcting baseband frequency error in a receiver. In one embodiment, an equalizer performs equalization on a sample data stream and generates filter tap values based on the equalization. An estimated frequency error signal is generated based on at least one of the filter tap values. A rotating phasor is generated based on the estimated frequency error signal. The rotating phasor signal is multiplied with the sample data stream to correct the frequency of the sample data stream. In another embodiment, a channel estimator performs channel estimation and generates Rake receiver finger weights based on at least one of the finger weights. An estimated frequency error signal is generated based on at least one of the finger weights.
Abstract:
A step-size estimator for controlling the step-size of an adaptive equalizer incorporated in a transceiver, (e.g., a wireless transmit/receive unit (WTRU)). The step-size estimator updates at least one adaptive equalizer tap used by the adaptive equalizer based on an apparent speed of a channel established between the transceiver and another transceiver. The step-size estimator includes a speed estimator, a signal-to-noise ratio (SNR) averager and a step-size mapping unit. The speed estimator is used to estimate the apparent speed of the channel, (i.e., the observed and/or measured rate of change of the channel impulse response). The SNR averager generates a common pilot channel (CPICH) SNR estimate. The step-size mapping unit uses the speed estimate and the CPICH SNR estimate to generate a step-size parameter, μ , and a filter taps leakage factor parameter, α , used by the adaptive equalizer to update the filter tap coefficient.
Abstract:
A method and apparatus for estimating and correcting baseband frequency error in a receiver. In one embodiment, an equalizer performs equalization on a sample data stream and generates filter tap values based on the equalization. An estimated frequency error signal is generated based on at least one of the filter tap values. A rotating phasor is generated based on the estimated frequency error signal. The rotating phasor signal is multiplied with the sample data stream to correct the frequency of the sample data stream. In another embodiment, a channel estimator performs channel estimation and generates Rake receiver finger weights based on at least one of the finger weights. An estimated frequency error signal is generated based on at least one of the finger weights.
Abstract:
A method and apparatus for compensating for phase noise of symbols spread with a long spreading code are disclosed. To compensate for the phase noise, a phase error estimate is generated from despread symbols with a short spreading code. A phase correcting phasor is applied to chip rate data before despreading the data with a long spreading code. A signal-to-interference ratio (SIR) on a common pilot channel (CPICH) may be calculated by spreading the data with a parent spreading code in an orthogonal variable spreading factor (OVSF) code tree and by combining symbols. Alternatively, a magnitude of the symbols may be used in estimating the SIR. The SIR of a channel using a short spreading code and an SIR of a channel using a long spreading code are measured. The SIR of the channel with the long spreading code may be compensated in accordance with a difference between degradation of the SIRs.
Abstract:
A step-size estimator for controlling the step-size of an adaptive equalizer incorporated in a transceiver, (e.g., a wireless transmit/receive unit (WTRU)). The step-size estimator updates at least one adaptive equalizer tap used by the adaptive equalizer based on an apparent speed of a channel established between the transceiver and another transceiver. The step-size estimator includes a speed estimator, a signal-to-noise ratio (SNR) averager and a step-size mapping unit. The speed estimator is used to estimate the apparent speed of the channel, (i.e., the observed and/or measured rate of change of the channel impulse response). The SNR averager generates a common pilot channel (CPICH) SNR estimate. The step-size mapping unit uses the speed estimate and the CPICH SNR estimate to generate a step-size parameter, μ, and a filter taps leakage factor parameter, α, used by the adaptive equalizer to update the filter tap coefficient.