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Blind Channel Estimation Method for Communication System Based on Sequence Parameter Non-orthogonal Transform

A communication system, non-orthogonal technology, applied in the field of channel estimation in mobile communication, which can solve the problems of complex estimation system and inaccurate estimation results.

Inactive Publication Date: 2016-08-17
SHANDONG UNIV OF SCI & TECH
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Problems solved by technology

[0003] The purpose of the present invention is to solve the problem that in the field of channel estimation, especially in the MIMO-OFDM system, due to the spatial correlation of antennas and the path correlation of signal transmission, the estimation system of channel characteristics is relatively complicated and the estimation results are not accurate enough. Provide a blind channel estimation method for communication systems based on sequence parameter non-orthogonal transformation

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  • Blind Channel Estimation Method for Communication System Based on Sequence Parameter Non-orthogonal Transform
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  • Blind Channel Estimation Method for Communication System Based on Sequence Parameter Non-orthogonal Transform

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[0057] Below in conjunction with accompanying drawing, the present invention will be further described:

[0058] The MIMO-OFDM communication system blind channel estimation method based on sequence parameter non-orthogonal transformation of the present invention, the MIMO-OFDM communication system here is a multiple-input multiple-output-orthogonal frequency division multiplexing communication system, comprising the following steps:

[0059] Step 1: Calculate the correlation matrix of the MIMO-OFDM communication system channel,

[0060] R s p = R R X ⊗ R T X ⊗ R p

[0061] The positive definite matrix R sp Decomposed into the square of the positive definite matrix U, ie R sp =U 2 ,in, Represents the correlation...

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Abstract

The invention relates to the field of channel estimation in mobile communication. The communication system blind channel estimation method based on sequence parameter non-orthogonal transformation of the present invention comprises the following steps: Step 1: calculate the correlation matrix of the MIMO-OFDM communication system channel; Step 2: select the sequence parameter of the received signal, according to the received signal Y (t)={y(t 1 ), y(t 2 ),...y(t M )}, select the N main eigenvalues ​​of its second-order moments and their corresponding eigenvectors as order parameters; Step 3: Estimate the characteristics of the non-orthogonal channels of the MIMO-OFDM communication system, that is, the impulse response of each channel, and solve Non-orthogonal basis functions; step 4: divide the signal according to the non-orthogonal basis functions Carry out non-orthogonal decomposition, estimate the source signal through blind separation, and its decomposition coefficient x 1 ,...,x N That is, the separated source signal vector . The present invention does not need to add a pilot sequence at the sending end, and only uses the received signal at the receiving end to blindly estimate the channel, which can effectively save bandwidth, and has low computational complexity and high estimation precision.

Description

technical field [0001] The invention relates to the field of channel estimation in mobile communication, in particular to a blind channel estimation method applied to a multiple-input multiple-output-orthogonal frequency division multiplexing communication system. Background technique [0002] In MIMO-OFDM (MIMO-OFDM communication system is multiple input multiple output - orthogonal frequency division multiplexing communication system), different antennas in the system send different signals, and each antenna and each subcarrier has multiple channels parameters, channel estimation is more difficult. When the channel changes rapidly, since the channel state information obtained through channel estimation will quickly become outdated, it is necessary to pay a large price to obtain the instantaneous state information of the channel, which reduces the transmission efficiency of the system and also causes bit errors. rate increased. Aiming at the difficulties and problems of c...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L25/02H04B7/04H04L27/26
Inventor 张瑞郭银景卫阿盈高荣华韩进张秀娟祁亚萍郭华
Owner SHANDONG UNIV OF SCI & TECH