Abstract: A communications signal is processed to determine a proportionality relationship between a gain of a first channel (e.g., a pilot channel) and a gain of a second channel (e.g., a traffic channel) from a model of the first channel and information recovered from the second channel according to the model of the first channel. Symbol estimates may be generated from the information received over the second channel based on the determined proportionality relationship. In some embodiments, a gain multiplier may be estimated from information received over the second channel, a channel estimate for the first channel and a noise estimate for the first channel, for example, by generating despread values from the information received over the second channel, processing the despread values according to the channel estimate to generate symbol estimates, and generating the estimate of the gain multiplier from the noise estimate and the symbol estimates. Methods, apparatus and computer program products are provided.

Abstract: Multipath delay estimation of a direct sequence spread spectrum (DS-SS) signal transmitted in a multipath fading channel is accomplished by measuring the envelope of the signal to determine a new delay estimate. Delay estimates are also obtained in ray strength order, by subtracting out the influence of the stronger rays on the weaker ones. This subtraction approach can be performed iteratively, allowing further refinement of the delay estimates. Delay estimates can also be determined by minimizing the mean square error (MSE) between a measured correlation function and a modeled correlation function. The minimum mean square error (MMSE) approach can performed iteratively, to further refine the delay estimates. Maximum likelihood (ML) delay estimates can also be obtained by exploiting side information regarding the transmit and receive pulse shapes.

Abstract: A flexible sliding correlator for use in a spread spectrum receiver divides baseband signal samples into different groups, associates each group with a different section of a spreading code, and combines ones of the signal samples with corresponding values in the spreading code section. The groupings and spreading code sections can be changed during operation of the receiver to maximize performance of the receiver under different or changing conditions. In addition, the sample and spreading code value combinations can be further combined in different ways, and the further combinations can be changed during operation of the receiver. According to another aspect of the invention, the baseband signal can be sampled either uniformly or non-uniformly. The phase and frequency of the baseband sampling can be adjusted during operation of the receiver so that samples are taken very close to the optimum sampling position, at the peak of a chip waveform in the baseband signal.

Abstract: A communications signal is processed to determine a proportionality relationship between a gain of a first channel (e.g., a pilot channel) and a gain of a second channel (e.g., a traffic channel) from a model of the first channel and information recovered from the second channel according to the model of the first channel. Symbol estimates may be generated from the information received over the second channel based on the determined proportionality relationship. In some embodiments, a gain multiplier may be estimated from information received over the second channel, a channel estimate for the first channel and a noise estimate for the first channel, for example, by generating despread values from the information received over the second channel, processing the despread values according to the channel estimate to generate symbol estimates, and generating the estimate of the gain multiplier from the noise estimate and the symbol estimates. Methods, apparatus and computer program products are provided.

Abstract: A flexible sliding correlator for use in a spread spectrum receiver divides baseband signal samples into different groups, associates each group with a different section of a spreading code, and combines ones of the signal samples with corresponding values in the spreading code section. The groupings and spreading code sections can be changed during operation of the receiver to maximize performance of the receiver under different or changing conditions. In addition, the sample and spreading code value combinations can be further combined in different ways, and the further combinations can be changed during operation of the receiver. According to another aspect of the invention, the baseband signal can be sampled either uniformly or non-uniformly. The phase and frequency of the baseband sampling can be adjusted during operation of the receiver so that samples are taken very close to the optimum sampling position, at the peak of a chip waveform in the baseband signal.

Abstract: A flexible sliding correlator for use in a spread spectrum receiver divides baseband signal samples into different groups, associates each group with a different section of a spreading code, and combines ones of the signal samples with corresponding values in the spreading code section. The groupings and spreading code sections can be changed during operation of the receiver to maximize performance of the receiver under different or changing conditions. In addition, the sample and spreading code value combinations can be further combined in different ways, and the further combinations can be changed during operation of the receiver. According to another aspect of the invention, the baseband signal can be sampled either uniformly or non-uniformly. The phase and frequency of the baseband sampling can be adjusted during operation of the receiver so that samples are taken very close to the optimum sampling position, at the peak of a chip waveform in the baseband signal.

Abstract: A method and apparatus for evaluating signal strength of a channel received at a mobile station within a spread spectrum communication systems is disclosed. If the receiver at the mobile station receives a spread spectrum signal, a first sampling means converts the received signal into a first sample stream as a first sampling. A second sampling means converts the first sample stream into a second sample stream at a second sample rate, different from the first sample rate. The signal strength of a pilot channel is measured based upon the first and second sample streams.

Abstract: A method and apparatus for channel tracking is disclosed wherein pulse-shaping information is used to improve channel tracking performance. Information symbol values are prefiltered using the pulse shape information for a received baseband signal to generate a filtered waveform. The filtered waveform provides a reference signal for a medium response estimation. The estimated medium response is used with a coherent detector to detect unknown information symbols within the baseband signal. Medium response estimates can be determined for a single detected symbol sequence or for each hypothesized symbol sequence.