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Linear minimum mean square error (LMMSE) detection method for multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM)

A detection method and k-1 technology are applied in the field of LMMSE detection for MIMO-OFDM, which can solve problems such as large amount of computation, and achieve the effects of low computation amount and processing time.

Active Publication Date: 2011-06-29
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

Non-linear detection methods are mainly ML-type algorithms, which have a large amount of calculation, and are generally not suitable for systems with multiple streams or high-order modulation.

Method used

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  • Linear minimum mean square error (LMMSE) detection method for multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM)
  • Linear minimum mean square error (LMMSE) detection method for multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM)
  • Linear minimum mean square error (LMMSE) detection method for multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM)

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Embodiment 1

[0074] Taking the antenna configuration of 4 code streams in the 3GPP LTE (Long Term Evolution) standard as an example, compare the calculation amount / processing time difference between the present invention and the general Givens rotation QR decomposition method based on the pulsation array to realize the LMMSE detection algorithm.

[0075] The pulsation array structure adopted by the present invention is as figure 1 As shown, the multi-antenna channel matrix enters the pulsed array along the diagonal, and the diagonal interval is equal to the number of rows of the matrix, that is, 4 data.

[0076] The processing steps are as follows:

[0077] (1) The multi-antenna channel estimation value from the channel estimation module and multiple antennas to receive data x i Arranged obliquely according to the order of subcarriers, where H i Represents the N×M order channel matrix of the i-th subcarrier, N is the number of receiving antennas, M is the number of transmitting code s...

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Abstract

The invention discloses a linear minimum mean square error (LMMSE) detection method for multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM). The method comprises the following steps of: presetting a detection systolic array by adopting an estimated noise level value obtained from a channel estimation module, performing Givens rotation on a multi-antenna channel matrix, simultaneously performing unitary transformation on data received by a plurality of antenna, and finally solving linear equations by using a back substitution method to obtain an estimated value of a space division multiplexing signal. The processing method is implemented according to a sub-carrier sequence. Compared with the conventional methods, the LMMSE detection method for the MIMO-OFDM has the advantages that: a calculated amount is far less than that of the conventional systolic array Givens rotation-based quick response (QR) decomposition performed on the multi-antenna channel augmented matrix, and the processing time is relatively shorter.

Description

technical field [0001] The present invention belongs to the technical field of multi-antenna orthogonal frequency division multiplexing modulation (MIMO-OFDM) detection in communication and information technology, especially belongs to the linear minimum mean square error detection technology of multiple-input multiple-output (MIMO) system, and specifically relates to a A LMMSE detection method for MIMO-OFDM. Background technique [0002] The wireless communications industry is transitioning from the current single-antenna, single-carrier systems to multi-antenna, multi-carrier systems. The multipath delay spread of the wireless channel causes the frequency selective fading of the wireless signal. In order to suppress the intersymbol interference caused by frequency selectivity, OFDM modulation technology converts a wideband frequency selective channel into multiple parallel flat fading narrowband channels, which improves the reliability of the air interface. MIMO technolo...

Claims

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Application Information

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IPC IPC(8): H04L25/02H04L1/06
Inventor 黄鹤赵春明姜明傅学群张华
Owner SOUTHEAST UNIV
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