A control method of mmse detection circuit based on time concealment

Abstract

The invention discloses a control method for an MMSE detection circuit based on time hiding. The method is characterized by comprising setting a control module that comprises a counter, n vector pre-treatment units and n-1 register units, wherein the register units are used for storing data, after being processed by the vector pretreatment units, of an output column vector of a complex matrix QR decomposition module; the control method is to control the output of data in the register unit according to an enable signal sent out by the counter, and thus the waiting time of the data in the register unit is greatly reduced, the computing speed of the circuit is improved to a large extent, the delay time of the whole algorithm circuit is reduced, and the resource consumption is also reduced.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and is specifically applied to a control method of a receiving end signal detection circuit of large-scale antenna technology, which can reduce the delay time of detection information. Background technique [0002] With the gradual improvement of multiple-input multiple-output (MIMO, Multiple-Input Multiple-Output) system theory in the field of wireless communication, MIMO technology has become one of the key technologies of 5G mobile communication. If you want to take advantage of the MIMO technology, you must need a high-performance, low-complexity MIMO detection algorithm. The maximum likelihood detection method (ML) has high precision and is often used in MIMO detection algorithms, but its computational complexity is very high, especially in terms of hardware implementation, it consumes a lot of resources and has a high delay. [0003] All transmission data in a massive MIMO s...

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Problems solved by technology

[0004] In the article A practical, hardware friendly MMSE detector for MIMO-OFDM-based systems published by Kim H S, Zhu W, Bhatia J, et al et al, a new MMSE algorithm structure is proposed, which reduces the computational complexity from the huge amount of calculation The complex matrix inversion is transformed into complex matrix decomposition, which simplifies the solution process and saves hardware resources, but it is The data obtained after QR decomposition is still stored in the register, and it must wait for all elements of the Q matrix to be solved before entering the next level for calculation, which greatly increases the data delay time and consumes more resources.

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