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Methods and apparatus for iterative decoding in multiple-input-multiple-output (mimo) communication systems

A wireless communication and summation technology, applied in the transmission system, digital transmission system, baseband system, etc., can solve the problems of demodulation and decoding complexity of the receiving module

Inactive Publication Date: 2012-12-19
QUALCOMM INC
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Problems solved by technology

However, the challenge of MIMO implementation is the demodulation and decoding complexity in the receiver block

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  • Methods and apparatus for iterative decoding in multiple-input-multiple-output (mimo) communication systems
  • Methods and apparatus for iterative decoding in multiple-input-multiple-output (mimo) communication systems
  • Methods and apparatus for iterative decoding in multiple-input-multiple-output (mimo) communication systems

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Embodiment Construction

[0029] According to various aspects described subsequently herein, efficient iterative detection and decoding apparatus and methods for use in MIMO-OFDM based systems, as well as other communication systems, are described.

[0030] In an iterative receiver architecture, the detector and decoder can exchange information. The various algorithms differ in how the soft information is generated from the detector. However, different processing algorithms can be shown to be equivalent to using Gaussian approximations for LLR values ​​or disturbances in metric calculations. However, the Gaussian approximation does not work well for the higher order modulations used by LTE and LTE-A systems, such as 64 or 256 quadrature amplitude modulation (QAM). To address this and other problems, methods and apparatus are described in various aspects herein.

[0031] Various additional aspects, details, functions and implementations are further described below in conjunction with the accompanying ...

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Abstract

Methods and apparatus for receiving, processing, and decoding MIMO transmissions in communications systems are described. A non-Gaussian approximation method for simplifying processing complexity where summations are used is described. Use of a priori information to facilitate determination of log likelihood ratios (LLRs) in receivers using iterative decoders is further described. A Gaussian or non-Gaussian approximation method using a priori information may be used to determine a K-best list of values for summation to generate an LLR is also described.

Description

[0001] Cross References to Related Applications [0002] This application claims priority under 35 U.S.C.S. 119(e) to U.S. Provisional Patent Application No. 61 / 307,768, filed February 24, 2010, entitled "LOW COMPLEXITY HIGH PERFORMANCE ITERATIVE DECODING IN MULTIPLE INPUT MULTIPLE OUTUPUT SYSTEMS" , the contents of which provisional application is incorporated herein by reference in its entirety. technical field [0003] In general terms, the present application relates to wireless communication systems. In particular, but not exclusively, the present application relates to methods and apparatus for receiving and decoding transmissions in a communication system using iterative decoding and a priori information to determine log-likelihood ratios (LLRs). Background technique [0004] In order to provide various communication contents such as voice, data, video, wireless communication systems are widely deployed, and the deployment is likely to increase the introduction of ne...

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Application Information

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IPC IPC(8): H04L1/06H04L25/03H04L1/00
CPCH04L25/03242H04L1/005H04L25/067H04L1/06H04L27/00
Inventor T·崔J·唐A·森多纳瑞斯A·A·萨尔韦卡S·P·N·拉奥P·苏布拉马尼亚L·肖M·L·麦克劳德B·C·巴尼斯特
Owner QUALCOMM INC
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