Abstract: Methods and apparatus for determining an impairment covariance matrix for use in an interference-suppressing CDMA receiver are disclosed. In several of the disclosed embodiments, precise information regarding signal propagation delays is not needed. An exemplary method includes the selection of a plurality of processing delays for processing a received CDMA signal. Net channel coefficients for the processing delays are estimated and used to calculate an impairment covariance matrix. The impairment covariance matrix is calculated as a function of the estimated net channel coefficients and the processing delays, without estimating a propagation medium channel response for the received signal.

Abstract: A receive station of the present invention despreads a received signal over both long and short despreading periods to determine individual channel estimates over each symbol period of an extended period for multiple pilot signals. As a result, the present invention provides channel estimates sufficient for both slow and fast fading conditions. The receive station determines an average channel estimate for each of the pilot signals over the extended period by despreading the received signal over the extended period using mutually orthogonal extended spreading sequences. The receive station further determines a combined channel estimate for the pilot signals over each symbol period of the extended period by despreading the received signal over each symbol period using a common spreading sequence. Based on the average and combined channel estimates, the receive station determines individual channel estimates for each pilot signal over each symbol period of the extended period.

Abstract: In a parametric G-Rake receiver, a method an apparatus computes initial estimates of one or more scaling parameters and initial combining weights for the parametric G-Rake receiver; estimates the SINR of a received signal based on a mean pilot symbol estimate and the initial combining weights; computes revised estimates for one or more scaling parameters based on the estimated SINR and the initial combining weights; and computes revised combining weights based on one or more revised scaling parameter estimates.

Abstract: A receive station of the present invention despreads a received signal over multiple successive symbol periods of an extended measurement period to determine individual channel estimates over each symbol period of an extended period for multiple pilot signals. In one example, the extended measurement period comprises two extended periods, each of which comprise two symbol periods. As a result, the present invention provides channel estimates sufficient for both slow and fast fading conditions. The receive station determines a combined channel estimate for the pilot signals over each symbol period of an extended period by despreading the received signal over each symbol period of an extended measurement period using a common spreading sequence. Based on the combined channel estimates, the receive station determines individual channel estimates for each pilot signal over each symbol period of the extended period.

Abstract: According to a method and apparatus taught herein, the computation of intermediate combining weights considers impairment correlations common to two received signal streams, but does not account for cross-stream interference attributable to channel reuse between the two streams. Excluding consideration of channel reuse cross-stream interference from the computation of intermediate combining weights simplifies intermediate combining weight computation and increases computational robustness. Further, final combining weights, such as for Generalized Rake combining or equalization combining, may be obtained efficiently from the intermediate combining weights through the use of weight scaling factors, which do account for channel reuse cross-stream interference. Moreover, in at least some instances, the intermediate combining weights are of interest. For example, signal quality estimates for one or both streams may be computed from the corresponding intermediate combining weights.

Abstract: Methods and apparatus for processing a composite communication signal comprising two or more received signals of interest are disclosed. An interference-suppressing receiver, which may comprise a G-Rake receiver or a linear chip equalizer, utilizes a square-root covariance matrix in processing received signals, where the square-root covariance matrix represents impairment covariance or data covariance for the composite communication signal. In an exemplary method, a receiver detects symbols, corresponding to a signal of interest, from the composite communication signal, using processing weights calculated from a square-root covariance matrix and a net channel response for the signal of interest.

Abstract: A method and apparatus for a multi-branch wireless receiver for periodically sampling first and second received signals corresponding to first and second receiver branches at first and second sample times to generate offset sample streams. The offset sample streams are then combined in a combining circuit to reduce interference present in the received signals. In an exemplary embodiment, a multi-branch wireless receiver includes an offset circuit to generate first and second offset sample times. A first sampler periodically samples the first received signal at the first sample time to generate a first sample stream and a second sampler periodically samples the second received signal at the second sample time to generate a second sample stream offset from the first sample stream. The combining circuit comprises a RAKE receiver that reduces the interference by scaling and combining despread values generated from the offset sample streams.

Abstract: Methods and apparatus for determining an impairment covariance matrix for use in an interference-suppressing CDMA receiver are disclosed. In several of the disclosed embodiments, precise information regarding signal propagation delays is not needed. An exemplary method includes the selection of a plurality of processing delays for processing a received CDMA signal. Net channel coefficients for the processing delays are estimated and used to calculate an impairment covariance matrix. The impairment covariance matrix is calculated as a function of the estimated net channel coefficients and the processing delays, without estimating a propagation medium channel response for the received signal.

Abstract: A method of processing a received communication signal comprises calculating a traffic-to-pilot scaling factor by relating data correlations determined from despread traffic values obtained from the received communication signal-to-noise correlations determined from despread pilot values obtained from the received communication signal, and generating traffic symbol estimates by combining corresponding ones of the despread traffic values using combining weights calculated from the data correlations. Generating combining weights in this manner provides, among other things, Minimum Mean Square Error (MMSE) estimations for the received traffic symbols that inherently are properly scaled in amplitude relative to symbol values in a reference modulation constellation.

Abstract: Methods and apparatus for processing a composite communication signal comprising two or more received signals of interest are disclosed. An interference-suppressing receiver, which may comprise a G-Rake receiver or a linear chip equalizer, utilizes a square-root covariance matrix in processing received signals, where the square-root covariance matrix represents impairment covariance or data covariance for the composite communication signal. In an exemplary method, a receiver detects symbols, corresponding to a signal of interest, from the composite communication signal, using processing weights calculated from a square-root covariance matrix and a net channel response for the signal of interest.

Abstract: A wireless communication device includes a Generalized RAKE (G-RAKE) receiver circuit that is configured to determine a traffic-to-pilot gain scaling parameter as part of the impairment correlation determination process that underlies (G-RAKE) combining weight generation. In this manner, the receiver circuit conveniently and accurately accounts for gain differences between the pilot channel of a received CDMA signal, as used for channel estimation, and the traffic channel(s) of the CDMA signal, which carry received data to be recovered. The gain difference accounting enables proper demodulation of amplitude-modulated traffic signals. By way of non-limiting example, such gain scaling may be used for demodulating/decoding High Speed Downlink Packet Access (HSDPA) signals used in Wideband Code Division Multiple Access (W-CDMA) systems.

Abstract: A receive station of the present invention despreads a received signal over multiple successive symbol periods of an extended measurement period to determine individual channel estimates over each symbol period of an extended period for multiple pilot signals. In one example, the extended measurement period comprises two extended periods, each of which comprise two symbol periods. As a result, the present invention provides channel estimates sufficient for both slow and fast fading conditions. The receive station determines a combined channel estimate for the pilot signals over each symbol period of an extended period by despreading the received signal over each symbol period of an extended measurement period using a common spreading sequence. Based on the combined channel estimates, the receive station determines individual channel estimates for each pilot signal over each symbol period of the extended period.

Abstract: In a parametric G-Rake receiver, a method an apparatus computes initial estimates of one or more scaling parameters and initial combining weights for the parametric G-Rake receiver; estimates the SINR of a received signal based on a mean pilot symbol estimate and the initial combining weights; computes revised estimates for one or more scaling parameters based on the estimated SINR and the initial combining weights; and computes revised combining weights based on one or more revised scaling parameter estimates.

Abstract: A receive station of the present invention despreads a received signal over both long and short despreading periods to determine individual channel estimates over each symbol period of an extended period for multiple pilot signals. As a result, the present invention provides channel estimates sufficient for both slow and fast fading conditions. The receive station determines an average channel estimate for each of the pilot signals over the extended period by despreading the received signal over the extended period using mutually orthogonal extended spreading sequences. The receive station further determines a combined channel estimate for the pilot signals over each symbol period of the extended period by despreading the received signal over each symbol period using a common spreading sequence. Based on the average and combined channel estimates, the receive station determines individual channel estimates for each pilot signal over each symbol period of the extended period.

Abstract: Exemplary received signal processing may be based on maintaining a model of received signal impairment correlations, wherein each term of the model is updated periodically or as needed based on measuring impairments for a received signal of interest. An exemplary model comprises an interference impairment term scaled by a first model fitting parameter, and a noise impairment term scaled by a second model fitting parameters. The model terms may be maintained based on current channel estimates and delay information and may be fitted to measured impairment by adapting the model fitting parameters based on the measured impairment. The modeled received signal impairment correlations may be used to compute RAKE combining weights for received signal processing, or to compute Signal-to-Interference (SIR) estimates. Combined or separate models may be used for multiple received signals. As such, the exemplary modeling is extended to soft handoff, multiple antennas, and other diversity situations.

Abstract: A wireless communication receiver obtains improved performance under certain fast fading conditions by basing one or more received signal processing operations on pre-despreading chip sample correlations rather than on post-despreading noise correlations, but preserves soft scaling information by determining one or more scaling factors that relate the chip sample correlations to the noise correlations. By way of non-limiting examples, a Generalized RAKE receiver circuit may base combining weight generation on chip sample correlations rather than on post-despreading pilot symbol noise correlations, but scale the combining weights as a function of the one or more scaling factors, or, equivalently, scale the combined values generated from the combining weights. Similar scaling may be performed with respect to chip equalization filter combining weights in a chip equalization receiver circuit.

Abstract: According to a method and apparatus taught herein, the computation of intermediate combining weights considers impairment correlations common to two received signal streams, but does not account for cross-stream interference attributable to channel reuse between the two streams. Excluding consideration of channel reuse cross-stream interference from the computation of intermediate combining weights simplifies intermediate combining weight computation and increases computational robustness. Further, final combining weights, such as for Generalized Rake combining or equalization combining, may be obtained efficiently from the intermediate combining weights through the use of weight scaling factors, which do account for channel reuse cross-stream interference. Moreover, in at least some instances, the intermediate combining weights are of interest. For example, signal quality estimates for one or both streams may be computed from the corresponding intermediate combining weights.

Abstract: A delay-and-add filtering technique positions one or more filter nulls substantially at points of narrowband interference in a relatively wideband received signal. For example, the technique is useful in removing adjacent channel interference in a received W-CDMA signal caused GSM radio transmissions.

Abstract: Biasing soft output values based on a known or learned bit error rate function yields performance improvements in decoding algorithms adapted to work with soft values, such as soft output Viterbi algorithms (SOVA). For example, in a wireless receiver, the soft output values output from a signal demodulator may be biased to reflect the changes in bit error rate across a given burst or block of data. Such changes might arise, for example, due to increasing inaccuracies in the receiver's channel estimate, which is typically computed at the beginning or middle of a block of received data. The wireless receiver may store a table of scaling factors corresponding to the expected bit error rate distribution of the received signal. The table may be preloaded into the receiver, or may be determined during operation. In either case, the table may be updated during operation to reflect bit error incidence observed during operation.

Abstract: A method of mitigating phase nulls in a local wireless telephone system comprises inserting one or more random bits into a frame of a simulcast signal. The introduction of the random bits into the frame causes subsequent bits in the frame to be modulated differently, thereby reducing phase cancellation nulls. While particularly suited to localized wireless telephone systems, the methodology may be equally adapted to any mobile network wherein geographically proximate antennas broadcast the same signals.