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Efficient computation of spatial filter matrices for steering transmit diversity in a MIMO communication system

A technology of spatial filter and steering matrix, applied in the field of communication

Active Publication Date: 2007-08-01
QUALCOMM INC
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this spatial processing introduces additional complexity to the transmitting entity as well as the receiving entity

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  • Efficient computation of spatial filter matrices for steering transmit diversity in a MIMO communication system
  • Efficient computation of spatial filter matrices for steering transmit diversity in a MIMO communication system
  • Efficient computation of spatial filter matrices for steering transmit diversity in a MIMO communication system

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Embodiment Construction

[0017] The word "exemplary" is used herein to mean "serving as an example, illustration or illustration". Any embodiment described herein as "exemplary" should not be construed as preferred or advantageous over other embodiments.

[0018] FIG. 1 shows a simple block diagram of a transmitting entity 110 and a receiving entity 150 in a MIMO system 100 . In the transmitting entity 110, a transmit (TX) spatial processor 120 processes the data symbols (using the vector s (denoted by (m)) is spatially processed to generate transmitted symbols (denoted by x (m) indicates). As used herein, "data symbols" are modulation symbols for data, "pilot symbols" are modulation symbols for pilot information (i.e., data known a priori to both the transmitting entity and the receiving entity), and "transmit symbols" are the symbols sent from the transmitting antenna. The "received symbol" is the symbol obtained from the receiving antenna, and the modulation symbol is the complex value of a poin...

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Abstract

Techniques for efficiently computing spatial filter matrices are described. The channel response matrices for a MIMO channel may be highly correlated if the channel is relatively static over a range of transmission spans. In this case, an initial spatial filter matrix may be derived based on one channel response matrix, and a spatial filter matrix for each transmission span may be computed based on the initial spatial filter matrix and a steering matrix used for that transmission span. The channel response matrices may be partially correlated if the MIMO channel is not static but does not change abruptly. In this case, a spatial filter matrix may be derived for one transmission span l and used to derive an initial spatial filter matrix for another transmission span m. A spatial filter matrix for transmission span m may be computed based on the initial spatial filter matrix, e.g., using an iterative procedure.

Description

field of invention [0001] The present invention relates generally to communications and, in particular, to spatial processing for data transmission in multiple input multiple output communication systems. technical background [0002] A MIMO system employs multiple (N T ) transmitting antennas, and multiple (N R ) receiving antenna for data transmission. N can be T transmit antennas and N R The MIMO channel formed by receiving antennas is decomposed into N S spatial channels, where N S ≤min{N T , N R}. this N S Spatial channels can be used to transmit data in parallel to increase throughput and / or transmit data redundantly to increase reliability. [0003] Each spatial channel may experience various harsh channel conditions, such as fading, multipath, and interference. N S The spatial channels may also experience different channel conditions and may achieve different signal-to-noise-plus-interference ratios (SNRs). The SNR of each spatial channel determines its ...

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Application Information

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IPC IPC(8): H04B7/08H04J99/00
CPCH04B7/0417H04B7/0626H04B7/0697H04B7/0854H04B7/06H04W16/28
Inventor 马克·S·华莱士杰伊·罗德尼·沃尔顿史蒂文·J·霍华德
Owner QUALCOMM INC
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