Abstract: A system is disclosed for use in a wireless communication system to provide an estimated pilot signal. The system includes a receiver and a front-end processing and despreading component in electronic communication with the receiver for despreading a CDMA signal. A pilot estimation component is in electronic communication with the front-end processing and despreading component for estimating an original pilot signal using a Kalman filter to produce a pilot estimate. A demodulation component is in electronic communication with the pilot estimation component and the front-end processing and despreading component for providing demodulated data symbols. The Kalman filter is configured by an offline system identification process that calculates parameters using a prediction error method and a Gauss-Newton algorithm and generates state estimates using the Kalman filter. The calculating and generating are iteratively performed to train the Kalman filter for real-time operation.

Abstract: The velocity of a wireless communications device (WCD) is estimated. In response to this estimated velocity, a tracking speed of a filter is determined that corresponds to the estimated velocity. The filter filters a timing error signal to produce a control signal that controls the timing of a synchronization clock. This synchronization clock may be a finger clock that controls the timing of a pseudonoise (PN) sequence generator configured for despreading a pilot symbol sequence.

Abstract: A system is disclosed for use in a wireless communication system to provide an estimated pilot signal. The system includes a receiver and a front-end processing and despreading component in electronic communication with the receiver for despreading a CDMA signal. A pilot estimation component is in electronic communication with the front-end processing and despreading component for estimating an original pilot signal using a pilot estimator that includes more than one filter and that includes a switching method for using the more than one filter. The switching method uses a prediction error. A demodulation component is in electronic communication with the pilot estimation component and the front-end processing and despreading component for providing demodulated data symbols.

Abstract: A system is disclosed for use in a wireless communication system to provide an estimated pilot signal. The system includes a receiver and a front-end processing and despreading component in electronic communication with the receiver for despreading a CDMA signal. A pilot estimation component is in electronic communication with the front-end processing and despreading component for estimating an original pilot signal using a pilot estimator that includes a Kalman filter to produce a pilot estimate. The Kalman filter is determined through use of a prediction error method based on an innovations representation of the original pilot signal. A demodulation component is in electronic communication with the pilot estimation component and the front-end processing and despreading component for providing demodulated data symbols.

Abstract: A system for efficiently employing a quick paging channel signal to determine the presence of a forthcoming primary paging channel signal adapted for use with a wireless communications system employing a quick paging channel and a primary paging channel. The system includes a first mechanism for calculating a first decision parameter representative of a quality of a signal environment through which the quick paging channel is propagating. A second mechanism calculates a second decision parameter representative of a value of the quick paging channel signal. A third mechanism indicates, based on the first decision parameter and the second decision parameter, the presence or absence of an immediately forthcoming page message on the primary paging channel.

Abstract: A system for measuring a rise-over-thermal (RoT) characteristic in a communication network includes controlling a transmitting station to maintain its transmit power at a substantially constant level for a first time interval, and measuring a first received power level. The transmitting station is then controlled to adjust its transmit power by a selectable amount for a second time interval, and a second received power level is measured. The first and second received power levels are then processed to determine the RoT characteristic.

Abstract: An efficient system for determining if a paging channel should be received and processed adapted for use a wireless communications device in a wireless communications system employing a quick paging channel. The system includes a first mechanism for receiving an electromagnetic signal having both pilot signal and quick paging signal components. A second mechanism provides one or more initial quality parameters (Epilot1/Îo1,Epilot1) indicative of a quality of a signal environment in which the electromagnetic signal is propagating. The one or more initial quality parameters are based on the pilot signal and are associated with a first symbol of the quick paging signal. A third mechanism ascertains whether a second symbol of the quick paging channel signal or the subsequent paging channel should be processed based on the one or more initial quality parameters and provides a first indication in response thereto.

Abstract: A system determines if a primary paging channel should be received based on an examination of a quick paging channel. A first QPCH symbol is examined (102) and the normalized pilot energy is determined (104). If the normalized pilot energy is above a first threshold (106), the symbol is demodulated and the QPCH-symbol-to-pilot-energy ratio is determined (110) and compared against another threshold (112). If the normalized pilot energy is below the first threshold, the system proceeds to the second QPCH symbol immediately. Depending on the resulting values, a second QPCH signal is examined (108), the system sleeps (114), or the system decides (116) to process the primary paging channel directly (118). If the second signal is demodulated, and if its normalized pilot energy is high enough, it also is demodulated and the ratio of the sum-of-the-combined-QPCH-symbols to the sum-of-the-combined-pilot-energies is determined (122).

Abstract: This disclosure is directed to techniques for estimating signal-to-noise ratio (SNR) of signals received by a wireless communication device. The techniques take advantage of spatial receive diversity in a wireless communication device to achieve accurate estimates of SNR. In general, a spatial projection wiener filter function can be applied to incoming symbol estimates to support efficient computation of SNR. The estimated SNR can be used to produce power control commands for use in forward power control.

Abstract: A decision feedback equalizer includes a chip estimate buffer that forms chip estimates into a vector. A CCK decoder decodes the vector of chip estimates, and a CCK encoder, connected with the CCK decoder, re-encodes the vector of chip estimates into a valid CCK code word. At the same time, a chip slicer provides direct sliced chips from the chip estimates. An update module then forms a hybrid vector from the valid CCK code-word and the direct sliced chips for input to the feedback filter of the decision feedback equalizer. The hybrid feedback filter input vector reflects the CCK coding gain of its re-encoded portion thereby reducing the estimated chip error rate to improve the performance of the decision feedback equalizer.

Abstract: A system is disclosed for use in a wireless communication system to provide an estimated pilot signal. The system includes a receiver and a front-end processing and despreading component in electronic communication with the receiver for despreading a CDMA signal. A pilot estimation component is in electronic communication with the front-end processing and despreading component for estimating an original pilot signal using a pilot estimator that includes more than one filter and that includes a switching method for using the more than one filter. The switching method uses a prediction error. A demodulation component is in electronic communication with the pilot estimation component and the front-end processing and despreading component for providing demodulated data symbols.

Abstract: A system determines if a primary paging channel should be received based on an examination of a quick paging channel. A first QPCH symbol is examined (102) and the normalized pilot energy is determined (104). If the normalized pilot energy is above a first threshold (106), the symbol is demodulated and the QPCH-symbol-to-pilot-energy ratio is determined (110) and compared against another threshold (114). If the normalized pilot energy is below the first threshold, the system proceeds to the second QPCH symbol immediately. Based on the two comparisons, a second QPCH signal is examined (108) or the system sleeps (116). If the second signal is examined, and if its normalized pilot energy is high enough, it also is demodulated and the ratio of the sum-of-the-combined-QPCH-symbols to the sum-of-the-combined-pilot-energies is determined (122). If this ratio exceeds a threshold (124), the primary paging channel is processed (120); otherwise the system sleeps (116).

Abstract: A system is disclosed for use in a wireless communication system to provide an estimated pilot signal. The system includes a receiver and a front-end processing and despreading component in electronic communication with the receiver for despreading a CDMA signal. A pilot estimation component is in electronic communication with the front-end processing and despreading component for estimating an original pilot signal using a Wiener filter to produce a pilot estimate. A demodulation component is in electronic communication with the pilot estimation component and the front-end processing and despreading component for providing demodulated data symbols. The Wiener filter is configured by an offline filter determination process that calculates parameters of the Wiener filter to minimize the mean-square error.

Abstract: A system is disclosed for use in a wireless communication system to provide an estimated pilot signal. The system includes a receiver and a front-end processing and despreading component in electronic communication with the receiver for despreading a CDMA signal. A pilot estimation component is in electronic communication with the front-end processing and despreading component for estimating an original pilot signal using a pilot estimator that includes a Kalman filter to produce a pilot estimate. The Kalman filter is determined through use of a prediction error method based on an innovations representation of the original pilot signal. A demodulation component is in electronic communication with the pilot estimation component and the front-end processing and despreading component for providing demodulated data symbols.

Abstract: A system is disclosed for use in a wireless communication system to provide an estimated pilot signal. The system includes a receiver and a front-end processing and despreading component in electronic communication with the receiver for despreading a CDMA signal. A pilot estimation component is in electronic communication with the front-end processing and despreading component for estimating an original pilot signal using a time-varying adaptive pilot estimator that includes a Kalman filter to produce a pilot estimate. A demodulation component is in electronic communication with the pilot estimation component and the front-end processing and despreading component for providing demodulated data symbols. The Kalman filter is configured by an offline system identification process that calculates parameters using a prediction error method and a Gauss-Newton algorithm and generates state estimates using the Kalman filter.

Abstract: A spread spectrum wireless device (100) may include a receiver (110), a searcher (128), a search controller (130) and other features. The search controller (130) selectively generates control signals to control the searcher (128), which searches for a spread-spectrum signal. In one embodiment, the architecture of the searcher (128) is dynamically configurable by the search controller (130) to selectively search multiple channels using multiple frequency bins for the signal.

Abstract: A system is disclosed for use in a wireless communication system to provide an estimated pilot signal. The system includes a receiver and a front-end processing and despreading component in electronic communication with the receiver for despreading a CDMA signal. A pilot estimation component is in electronic communication with the front-end processing and despreading component for estimating an original pilot signal using a Kalman filter to produce a pilot estimate. A demodulation component is in electronic communication with the pilot estimation component and the front-end processing and despreading component for providing demodulated data symbols. The Kalman filter is configured by an offline system identification process that calculates parameters using a prediction error method and pseudo linear regression and generates state estimates using the Kalman filter. The calculating and generating are iteratively performed to train the Kalman filter for real-time operation.

Abstract: A system is disclosed for use in a wireless communication system to provide an estimated pilot signal. The system includes a receiver and a front-end processing and despreading component in electronic communication with the receiver for despreading a CDMA signal. A pilot estimation component is in electronic communication with the front-end processing and despreading component for estimating an original pilot signal using a Kalman filter to produce a pilot estimate. A demodulation component is in electronic communication with the pilot estimation component and the front-end processing and despreading component for providing demodulated data symbols. The Kalman filter is configured by an offline system identification process that calculates parameters using a maximum likelihood parameter estimation and generates state estimates using the Kalman filter. The calculating and generating are iteratively performed to train the Kalman filter for real-time operation.

Abstract: A system is disclosed for use in a wireless communication system to provide an estimated pilot signal. The system includes a receiver and a front-end processing and despreading component in electronic communication with the receiver for despreading a CDMA signal. A pilot estimation component is in electronic communication with the front-end processing and despreading component for estimating an original pilot signal using a Kalman filter to produce a pilot estimate. A demodulation component is in electronic communication with the pilot estimation component and the front-end processing and despreading component for providing demodulated data symbols. The Kalman filter is configured by an offline system identification process that calculates parameters using a prediction error method and a Gauss-Newton algorithm and generates state estimates using the Kalman filter. The calculating and generating are iteratively performed to train the Kalman filter for real-time operation.

Abstract: A system is disclosed for use in a wireless communication system to provide an estimated pilot signal. The system includes a receiver and a front-end processing and despreading component in electronic communication with the receiver for despreading a CDMA signal. A pilot estimation component is in electronic communication with the front-end processing and despreading component for estimating an original pilot signal using a Wiener filter to produce a pilot estimate. A demodulation component is in electronic communication with the pilot estimation component and the front-end processing and despreading component for providing demodulated data symbols. The Wiener filter is configured by an offline filter determination process that calculates parameters of the Wiener filter to minimize the mean-square error.