Broadcom Corporation

Ning Kong

Mark Kent

Vinko Erceg

Uri M Landau

Pieter Roux

Severine E Catreux-Erceg

Louis Botha

Philip Koekemoer

Sang Hun Sung

Nelson Ray Sollenberger

Michiel Petrus Lotter

Francis Swarts

Certain aspects of a method and system for achieving space and time diversity gain are disclosed. Aspects of one method may include modifying a generalization code of at least one pilot channel, to measure signal strengths for each of a plurality of received multipath signals. A portion of the plurality of received multipath signals may be combined based on the measured signal strengths. The signal strengths of the plurality of received multipath signals may be measured on a primary pilot channel by assigning its generalization code to zero. The signal strengths of the plurality of received multipath signals on a secondary pilot channel may measured by assigning its generalization code to a non-zero value.

Method and system for achieving space and time diversity gain

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.

Method and system for low complexity conjugate gradient based equalization in a wireless system

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.

A multipath wireless communication is processed to recover a transmitted data signal without performing a direct matrix inversion (DMI). First, the multipath wireless communication is received. Then HH and HHvalues associated with the multipath wireless communication are determined. Weights based on HH and HHassociated with the received data signal may then be determined and used to recover the transmitted data signal from the received multipath wireless communication.

Adaptive unbiased least square (LS) algorithm for mitigating interference for CDMA down link and other applications

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La Jolla, CA, United States of America

Ning Kong