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Data processing device

A data processing device and integer technology, applied in the field of data processing devices based on Colesky decomposition, can solve the problems of consuming logic resources and high computational complexity

Active Publication Date: 2014-12-17
HISILICON TECH
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  • Description
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Problems solved by technology

Using the Cholesky decomposition device to decompose the matrix requires a large number of square root calculations, which has high computational complexity and consumes a lot of logic resources

Method used

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Embodiment Construction

[0085] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0086] like figure 1 As shown, the embodiment of the present invention is a data processing device 101, which is used to solve the lower triangular matrix L corresponding to the n-order symmetric positive definite matrix R, where R=LDL H , D is a diagonal matrix, L H Be the conjugate transpose matrix of described L, n is the integer greater than or equal to 2, and described device comprises:

[0087] The multiplier 102 is used to receive the jth row kth column el...

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Abstract

The invention discloses a data processing device. The data processing device is used for solving a lower triangular matrix L corresponding to an n*n symmetric positive definite matrix R, wherein the R is equal to LDLH, the D is a diagonal matrix, the LH is a conjugate transpose matrix of the L, and the n is an integer larger than or equal to 2. The data processing device comprises a multiplying unit, an accumulator and a summator. The input end of the data processing device is connected with the input end of the multiplying unit, the output end of the multiplying unit is connected with the input end of the accumulator, the output end of the accumulator is connected with the output end of the summator, the input end of the data processing device is also connected with the input end of the summator, the output end of the summator is used for outputting matrix data to a storage device, and the output end of the multiplying unit is also used for outputting matrix data to the storage device. By means of the data processing device, the symmetric positive definite matrix can be decomposed without a large amount of root extraction operation, operation complexity is lowered, and logical operation resources are saved.

Description

technical field [0001] The present invention relates to the technical field of communications, in particular to a data processing device based on Cholesky decomposition. Background technique [0002] In the field of WCDMA mobile communication, a linear minimum mean square error (Linear Minimum Mean Square Error, LMMSE) equalization algorithm is mainly used for channel estimation. Because of its ability to suppress noise and its excellent performance, it is widely used in the data receiving process of the receiver. [0003] In the process of estimating the channel using the LMMSE equalization algorithm, it is necessary to perform a decorrelation operation on the channel fading factor obtained by using the pilot channel estimation to remove the influence of the shaping filter at the transceiver end, obtain the real channel fading factor, and calculate the equalization coefficient. However, this solution process involves a large number of matrix operations, including matrix i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/16
Inventor 赵宇翔
Owner HISILICON TECH
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