Abstract: Methods and systems for processing signals in a receiver are disclosed herein and may include updating a plurality of filter taps utilizing at least one channel response vector and at least one correlation vector, for a plurality of received clusters, based on initialized values related to the at least one channel response vector and the at least one correlation vector. At least a portion of the received signal clusters may be filtered utilizing at least a portion of the updated plurality of filter taps. The update may be repeated whenever a specified signal-to-noise ratio (SNR) for the received signal clusters is reached. The initialized values may be updated during a plurality of iterations, and the update may be repeated whenever a specified number of the plurality of iterations is reached.

Abstract: Methods and systems for dual frequency timing acquisition for compressed WCDMA communication networks may include processing received WCDMA signals. The WCDMA signals, which may be primary synchronization channel signals, may comprise signals transmitted by one base station at one frequency band and by another base station at a different frequency band, during a compressed frame. Samples of the received WCDMA signals from the different base stations may be stored in portions of a memory allocated for signals from each base station. The received WCDMA signals having the first frequency band may be processed via the processing circuitry during a non-compressed frame. The samples corresponding to the signals with the first frequency band during the non-compressed frame may be stored in the memory. The received WCDMA signals may be sampled at a faster rate during the non-compressed frame than during the compressed frame.

Abstract: Methods and systems for dual frequency timing acquisition for compressed WCDMA communication networks may include processing received WCDMA signals. The WCDMA signals, which may be primary synchronization channel signals, may comprise signals transmitted by one base station at one frequency band and by another base station at a different frequency band, during a compressed frame. Samples of the received WCDMA signals from the different base stations may be stored in portions of a memory allocated for signals from each base station. The received WCDMA signals having the first frequency band may be processed via the processing circuitry during a non-compressed frame. The samples corresponding to the signals with the first frequency band during the non-compressed frame may be stored in the memory. The received WCDMA signals may be sampled at a faster rate during the non-compressed frame than during the compressed frame.

Abstract: Aspects of a method and system for an alternating channel delta quantizer for MIMO pre-coders with finite rate channel state information feedback may include quantizing a change in channel state information in a MIMO pre-coding system onto a codebook using a cost function and selecting the codebook from a set of codebooks; and generating the set of codebooks from a plurality of codebooks, where each may comprise one or more unitary matrices. The channel state information may be a matrix V that may be generated using Singular Value Decomposition (SVD) and/or Geometric Mean Decomposition (GMD). The selecting of the codebooks may be enabled by alternating between the elements of the set of codebooks. The cost function f(A) may be defined by the following relationship: f ? ( A ) = ( 1 N ? ? j = 1 N ? ? a jj ? 2 ) where A is a matrix of size N by N and aij is element (i,j) of matrix A.

Abstract: Aspects of a method and system for an alternating delta quantizer for limited feedback MIMO pre-coders may comprise quantizing a change in channel state information in a MIMO pre-coding system onto at least a first and a second codebook, each of which comprises one or more unitary matrices, using a cost function; feeding back, in an alternating manner, an index to an element of at least the first codebook or the second codebook, associated with the quantizing, from a receiver to a transmitter in said MIMO pre-coding system, and generating the at least first and second codebook based on at least the channel state information. The channel state information may be a matrix V and the cost function may be defined by the following relationship: f ? ( A ) = ( 1 N ? ? j = 1 N ? ? a jj ? 2 ) where A is a matrix of size N by N and aij is element (i,j) of matrix A.

Abstract: In a WCDMA network, a communication system may include a baseband processor that enables determination of a primary synchronization position and a plurality of scrambling codes based on received configuration information from at least one base station. The baseband processor may also determine a slot boundary in at least one signal received from the at least one base station based on the determined primary synchronization position. The baseband processor may concurrently apply segments of the plurality of scrambling codes to the received at least one signal. The segments of the plurality of scrambling codes are generated from a plurality of time shifted versions of one of the plurality of scrambling codes. The system may also include a multipath detector that enables unscrambling of the received at least one signal based on the determined slot boundary and at least a portion of the one or more scrambling codes.

Abstract: A system and method for processing signals are disclosed. The method may include performing by one or more processors and/or circuits in a wireless device that includes a plurality of transmit and/or receive antennas for one or more of HSDPA, space-time transmit diversity (STTD), Closed Loop, Normal Mode and spatial multiplexing, the one or more processors and/or circuits comprising a minimum mean square error (MMSE) equalizer, generating a plurality of chip-rate synchronously sampled signals utilizing a plurality of received clusters. At least a portion of said generated plurality of chip-rate synchronously sampled signals may be simultaneously equalized in time domain and in spatial domain, based on a plurality of weight values calculated for the plurality of received clusters. The plurality of weight values may be iteratively computed utilizing a time-based adaptation method.

Abstract: In an RF communication system, aspects for diversity processing may comprise processing a plurality of received multipath signals as clusters of signals. The received multipath signals may be diversity signals received from diversity transmit antennas at a base station. Timing information may be generated for tracking the clusters of signals. Complex phase and amplitude information may also be estimated for at least some of the multipath signals in the clusters of signals. At least a portion of the received multipath signals may be combined to form a single path processed diversity signal. A plurality of the single path processed diversity signals may be combined together, where each of the single path processed diversity signals may be derived from one of the plurality of diversity transmit antennas at the base station. The diversity signals may be transmitted via at least one of a plurality of diversity modes.

Abstract: Aspects of a method and system for an alternating delta quantizer for limited feedback MIMO pre-coders may comprise quantizing a change in channel state information in a MIMO pre-coding system onto at least a first and a second codebook, each of which comprises one or more unitary matrices, using a cost function; feeding back, in an alternating manner, an index to an element of at least the first codebook or the second codebook, associated with the quantizing, from a receiver to a transmitter in said MIMO pre-coding system, and generating the at least first and second codebook based on at least the channel state information. The channel state information may be a matrix V and the cost function may be defined by the following relationship: f ? ( A ) = ( 1 N ? ? j = 1 N ? ? a jj ? 2 ) where A is a matrix of size N by N and aij is element (i,j) of matrix A.

Abstract: Aspects of a method and system for an alternating channel delta quantizer for MIMO pre-coders with finite rate channel state information feedback may include quantizing a change in channel state information in a MIMO pre-coding system onto a codebook using a cost function and selecting the codebook from a set of codebooks; and generating the set of codebooks from a plurality of codebooks, where each may comprise one or more unitary matrices. The channel state information may be a matrix V that may be generated using Singular Value Decomposition (SVD) and/or Geometric Mean Decomposition (GMD). The selecting of the codebooks may be enabled by alternating between the elements of the set of codebooks. The cost function f(A) may be defined by the following relationship: f ? ( A ) = ( 1 N ? ? j = 1 N ? ? a jj ? 2 ) where A is a matrix of size N by N and aij is element (i,j) of matrix A.

Abstract: A method and an apparatus for new cell identification in a WCDMA network with a given neighbor set are described. Aspects of a system for new cell identification in a WCDMA network with a given neighbor set may include a baseband processor that enables determination of a primary synchronization position and at least one scrambling code based on received configuration information from one or more base stations. The baseband processor may also enable determination of a slot boundary in at least one signal received from the one or more base stations based on the determined primary synchronization position. The system may also include a multipath detector that enables unscrambling of the received at least one signal based on the determined slot boundary and at least a portion of the one or more scrambling codes.

Abstract: Methods and systems for processing signals in a receiver are disclosed herein and may comprise receiving WCDMA signals via M receive antennas, tracking a plurality of received clusters within the received WCDMA signals, and estimating a complex phase and amplitude of a portion of each of the received clusters. A single cluster may comprise an aggregate of received WCDMA signal paths and (M?1) phase shifters may be utilized for the estimating of the complex phase. Complex waveforms, comprising in-phase (I) and quadrature (Q) components for the received clusters within the received WCDMA signals, may be processed. The processed complex waveforms comprising the in-phase and quadrature components may be filtered to a WCDMA baseband bandwidth. A phase and/or amplitude for at least one of the received WCDMA signals may be adjusted utilizing the estimated complex phase and amplitude. The phase and/or amplitude may be adjusted continuously and/or at discrete intervals.

Abstract: Methods and systems for processing signals in a receiver are disclosed herein and may include updating a plurality of filter taps utilizing at least one channel response vector and at least one correlation vector, for a plurality of received clusters, based on initialized values related to the at least one channel response vector and the at least one correlation vector. At least a portion of the received signal clusters may be filtered utilizing at least a portion of the updated plurality of filter taps. The update may be repeated whenever a specified signal-to-noise ratio (SNR) for the received signal clusters is reached. The initialized values may be updated during a plurality of iterations, and the update may be repeated whenever a specified number of the plurality of iterations is reached.

Abstract: A method for processing signals includes, in a wireless system comprising one or more processors and/or circuits integrated within a single chip, initializing values related to at least one channel response vector and at least one correlation vector using a conjugate gradient-based (CG) algorithm. A plurality of filter taps may be updated utilizing at least one channel response vector and at least one correlation vector, for a plurality of received clusters, based on the initialized values and at least one signal-to-noise ratio (SNR) for the received signal clusters. At least a portion of the received signal clusters may be filtered utilizing at least a portion of the updated plurality of filter taps. The updating may be repeated whenever a specified signal-to-noise ratio (SNR) for the received clusters is reached. The initialized values may be updated during a plurality of iterations.

Abstract: Methods and systems for processing signals in a receiver are disclosed herein and may comprise receiving WCDMA signals via M receive antennas, tracking a plurality of received clusters within the received WCDMA signals, and estimating a complex phase and amplitude of a portion of each of the received clusters. A single cluster may comprise an aggregate of received WCDMA signal paths and (M-1) phase shifters may be utilized for the estimating of the complex phase. Complex waveforms, comprising in-phase (I) and quadrature (Q) components for the received clusters within the received WCDMA signals, may be processed. The processed complex waveforms comprising the in-phase and quadrature components may be filtered to a WCDMA baseband bandwidth. A phase and/or amplitude for at least one of the received WCDMA signals may be adjusted utilizing the estimated complex phase and amplitude. The phase and/or amplitude may be adjusted continuously and/or at discrete intervals.

Abstract: Aspects of a method and system for dynamic adaptation and communicating differences in frequency-time dependent systems may include generating a time difference weighting factor and a frequency difference weighting factor, based on at least channel estimates. A time-frequency difference may be computed by forming a weighted sum comprising a time difference and a frequency difference, where forming the weighted sum uses at least the time difference weighting factor and the frequency weighting factor. A channel quality indicator (CQI) feedback message may be generated, comprising the time-frequency difference. The time difference weighting factor and/or the frequency difference weighting factor may be generated adaptively at a base station or a mobile terminal. The time difference and/or the frequency difference may be generated from estimated Signal-to-Noise-Ratios (SNRs) associated with the channel estimates. The SNRs may be based on at least the output of an MMSE receiver.

Abstract: A method for processing signals includes, in a wireless system comprising one or more processors and/or circuits integrated within a single chip, initializing values related to at least one channel response vector and at least one correlation vector using a conjugate gradient-based (CG) algorithm. A plurality of filter taps may be updated utilizing at least one channel response vector and at least one correlation vector, for a plurality of received clusters, based on the initialized values and at least one signal-to-noise ratio (SNR) for the received signal clusters. At least a portion of the received signal clusters may be filtered utilizing at least a portion of the updated plurality of filter taps. The updating may be repeated whenever a specified signal-to-noise ratio (SNR) for the received clusters is reached. The initialized values may be updated during a plurality of iterations.

Abstract: A mobile device in an OFDM system receives an OFDM signal comprising a plurality of RS tones and data OFDM symbols. The received RS tones are extracted for channel estimation, which is performed by masking channel responses of the extracted RS tones. Pointers of the extracted RS tones are shifted so that the extracted RS tones are spaced in a subcarrier at regular intervals. Pointers of associated positive counted or indexed subcarriers are shifted one subcarrier lower while no pointer shifting on associated negative counted or indexed subcarriers. IFFT operation is applied to the resulting pointer shifted RS tones to determine the channel impulse responses. Desired channel taps are weighted using non-zero masking values, while undesired channel taps and/or channel tap replicas are weighted using zero. The masked channel impulse responses are back shifted in subcarrier prior to channel equalization.

Abstract: A mobile device in an OFDM system receives an OFDM signal comprising RS tones and data OFDM symbols. The received RS tones are extracted and utilized to perform channel estimation. The resulting raw channel estimates are time filtered by matching channel time variance measured in frequency domain and in time domain, respectively. The measured channel time variance comprises inter-carrier interference measurement and Doppler spread measurement. Mean of differences between neighbor adjacent subcarriers of the extracted RS tones is used for inter-carrier interference measurement. Autocorrelation functions of the raw channel estimates are evaluated for the Doppler spread measurement using, for example, level crossing and/or axis crossing based methods. The raw channel estimates are filtered through averaging and/or recursively filtering using time filter parameters determined based on the inter-carrier interference measurement and the Doppler spread measurement.

Abstract: A mobile device in an OFDM system receives an OFDM signal comprising RS tones and data OFDM symbols. The received RS tones are extracted for channel estimation using a masking operation. Masking parameters are determined by matching channel time variance using corresponding time domain samples of the extracted RS tones. As approximated channel impulse responses of transmission channels, the time samples are masked to perform the channel estimation. The channel time variance comprising inter-carrier interference and delay spread are measured, respectively. A mean of differences in power between neighbor adjacent subcarriers of the extracted RS tones is used for the inter-carrier interference measurement. The delay spread measurement such as root-mean-squared (RMS) delay spread is calculated using the approximated channel impulse responses.