Dual lattice reduction auxiliary detection method of multiple input multiple output (MIMO) signal

An auxiliary detection and grid reduction technology, applied in the direction of preventing/detecting errors through diversity reception, digital transmission systems, electrical components, etc., can solve the problems of high computational complexity and large computational complexity, and achieve complexity reduction, The effect of superior detection performance

Inactive Publication Date: 2013-06-19
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

These algorithms have a common shortcoming, that is, the computational complexity is relatively high.
Especially when the lattice dimension N (for MIMO detection a

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  • Dual lattice reduction auxiliary detection method of multiple input multiple output (MIMO) signal
  • Dual lattice reduction auxiliary detection method of multiple input multiple output (MIMO) signal
  • Dual lattice reduction auxiliary detection method of multiple input multiple output (MIMO) signal

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Embodiment Construction

[0047] Below in conjunction with the accompanying drawings, the dual lattice reduction auxiliary detection method of the MIMO signal proposed by the present invention will be described in detail:

[0048] figure 1 The dual lattice reduction assisted detection method for MIMO signals shown includes multiple functional modules such as channel estimation, matrix inversion, EDLR, MIMO suboptimal detection, and clipping judgment.

[0049] The dual lattice reduction auxiliary detection method for MIMO signals, the specific implementation steps of the EDLR module are as follows:

[0050] The input of the EDLR process: the basis of the dual lattice L(B), that is, the MP inverse matrix B of the channel gain matrix A;

[0051] The output of the EDLR process: the reduction basis B′ of the dual lattice L(B) and the unimodular matrix V;

[0052] Step A, initialization, assigning the matrix V as an identity matrix;

[0053] Step B, set the flag Let the integer variable j take values ​​...

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Abstract

The invention provides a dual lattice reduction auxiliary detection method of a multiple input multiple output (MIMO) signal. According to the method, MP of a channel gain matrix is calculated so that a dual lattice matrix is obtained in a reversed mode; an efficient dual lattice reduction base matrix of the dual lattice matrix is obtained by means of efficient dual lattice reduction expected default loss ratio (EDLR); the dual lattice reduction auxiliary detection method based on an efficient reduction base is adopted; and sign vector inverse transformation is conducted to a detection result so that a sent sign vector estimated value is obtained. Compared with complexity of an existing LR algorithm, calculation complexity of the method is obviously reduced. The calculation complexity is reduced more and testing performance is superior along with increase of the number of transmitting antennas. The dual lattice reduction auxiliary detection method of the MIMO signal is specifically suitable for an MIMO system in a large scale and main obstacles of actual application of the MIMO system in the large scale are removed.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and specifically refers to a dual lattice reduction auxiliary detection method for MIMO signals. Background technique [0002] In multiple-input multiple-output (MIMO) wireless communication systems, MIMO signal detection, referred to as MIMO detection, the basic methods include: maximum likelihood (maximum likelihood, ML) detection, zero forcing (zeroforcing, ZF ) detection and minimum mean square error (MMSE) detection. Among them, ML detection can achieve full diversity (the diversity order is equal to the number of receiving antennas), and has the best detection performance. However, its computational complexity increases exponentially with the number of parallel transmission symbols and the increase of the signal constellation size. Therefore, in many practical occasion is not possible. ZF and MMSE detection have low computational complexity, but they cannot achieve full div...

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Application Information

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IPC IPC(8): H04L1/00H04L1/06H04L25/02
Inventor 刘金铸
Owner NANJING UNIV OF INFORMATION SCI & TECH
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