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Symbol detector and sphere decoding method

A decoding method and detector technology, applied in the field of spherical decoding, can solve problems such as large amount of calculation and inappropriate V-BLAST method

Active Publication Date: 2010-02-10
IND TECH RES INST
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, using the V-BLAST sorting method requires a lot of calculations, and it is only suitable for indoor wireless network environments. In the mobile environment, the channel changes at any time, and each symbol needs to be additionally calculated. The V-BLAST method is obviously inappropriate

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  • Symbol detector and sphere decoding method
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  • Symbol detector and sphere decoding method

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Embodiment Construction

[0020] The following examples specifically illustrate how to implement the present invention in a preferred manner. The examples are only for illustrating the general application mode, and are not intended to limit the scope of the present invention. The actual scope is subject to what is listed in the claims.

[0021] During the simulation process, we found that in the search process of the depth-first spherical decoding algorithm combined with the SE enumeration method, the probability of finding the maximum similarity solution when the first visit to the bottom layer (m=1) is quite high, especially when the SNR is higher When it is high, the probability value is higher. In other words, if the original search tree is reorganized according to the quality of the SNR, so that the layers with poor SNR use the global search method, while the layers with good SNR only use the one-way search method, the maximum similarity can still be found. degree solution, and the complexity of...

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Abstract

The invention provides a symbol detector and a sphere decoding method. The symbol detector can receive a wireless signal and search a maximum similarity solution. In the symbol detector, a QR decomposer can perform a QR decomposing operation on a passage response matrix to generate a Q matrix and an R matrix. A matrix converter generates an inner product matrix according to the Q matrix and the wireless signal. A scheduler plans a searching task into a plurality of independent sub-searching tasks. A plurality of Euclidean distance calculators operate in parallel under the control of the scheduler. A plurality of calculating units in the Euclidean distance calculators read the R matrix and the inner product matrix through a pipelined construction to search the maximum similarity solution.

Description

technical field [0001] The present invention is related to spherical decoding, especially related to the symbol detector hardware architecture with improved search method and calculation method, which can greatly reduce search complexity. Background technique [0002] As the demand for wireless communication grows, the use efficiency of spectrum has also become the main focus of research and development. Multiple Input Multiple Output (MIMO) systems are equipped with multiple antennas at the transmitting end and the receiving end respectively, so that multiple copies of data can be transmitted simultaneously in the same frequency band, thereby improving transmission efficiency. However, the transmitted signal will cause interference at the receiving end, so signal separation and detection must be performed at the receiving end. [0003] Maximum Likelihood Detection (MLD) is a common algorithm, which can search all possible symbol combinations at the receiving end to find th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L1/06H04L27/38H04B7/08
Inventor 陈庆鸿丁邦安陈桢明陈治宇
Owner IND TECH RES INST
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