QR (quadrature rectangle) decomposition-based low-complexity MIMO (multi-input multi-output) detecting algorithm

A QR decomposition, low-complexity technology, applied in the direction of preventing/detecting errors through diversity reception, space transmit diversity, diversity/multi-antenna systems, etc. The effect of computational complexity

Inactive Publication Date: 2013-02-27
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Problems solved by technology

[0014] Aiming at the problem that the existing technology cannot take into account both system performance and comput

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  • QR (quadrature rectangle) decomposition-based low-complexity MIMO (multi-input multi-output) detecting algorithm
  • QR (quadrature rectangle) decomposition-based low-complexity MIMO (multi-input multi-output) detecting algorithm
  • QR (quadrature rectangle) decomposition-based low-complexity MIMO (multi-input multi-output) detecting algorithm

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[0031] The MIMO detection algorithm proposed by the present invention has a bit error rate (Bit Error Rate, BER) performance almost equivalent to that of the MMSE-SIC algorithm and the MMSE-QR algorithm, but the complexity is significantly lower than the other two algorithms. Here, the implementation method of the present case is described in detail by taking multi-user MIMO-OFDM (Orthogonal Frequency Division Multiplexing, Orthogonal Frequency Division Multiplexing) receiving end detection as an example.

[0032] Specific embodiments of the present invention will be given below with reference to the accompanying drawings. It should be noted that the parameters in the embodiments do not affect the generality of the present invention.

[0033] like figure 2 As shown, consider the downlink of the TDD LTE-A single-cell system, there is one base station and K users in the cell, and the base station is configured with N t The root transmit antenna, the kth (k=1,...,K) user confi...

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Abstract

The invention relates to a QR decomposition-based low-complexity MIMO detecting algorithm, which mainly comprises the following steps: according to a equivalent frequency domain channel matrix, calculating a corrected channel matrix, and performing QR decomposition to the corrected channel matrix to obtain a unitary matrix Q and an upper triangular matrix; performing conjugate transpose to the unitary matrix Q, multiplying the conjugate transpose matrix of the unitary matrix Q with vectors of the received signal, detecting layer by layer, and demodulating the transmitting symbol until all symbols are detected. The method aims to solve the problem that in the prior art, the system performance and the operation complexity cannot be considered at the same time. By changing the decomposed channel matrix that is the expanded channel matrix based on MMSE (minimum mean square error) QR algorithm to be the corrected channel matrix, the operation complexity of the MIMO detecting algorithm is greatly reduced, on the premise of ensuring the certain performance of the system.

Description

technical field [0001] The present invention relates to multiple input multiple output (Multiple Input Multiple Output, MIMO) technology in the field of wireless communication, in particular to a detection algorithm in a multiuser MIMO (multiuser MIMO, MU-MIMO) system. Background technique [0002] MIMO technology is a very important technology in the field of wireless communication. Compared with the previous Single Input Single Output (SISO) technology, MIMO technology has greatly improved the system capacity and link reliability, but the traditional MIMO receiver detection The algorithm increases exponentially as the number of antennas increases, so a lot of research work is carried out around reducing the detection algorithm at the MIMO receiver. [0003] In the detection algorithm of the MIMO system, the complexity is often a very important measure, especially when designing the detection algorithm of the mobile station. At present, there are many typical detection algo...

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Application Information

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IPC IPC(8): H04B7/08H04L1/06
Inventor 于巧玲方舒武刚李亚麟吕岭王勇
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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