Improved frequency bias estimation method for wideband MIMO

A technology of frequency offset estimation and offset estimation, applied in multi-frequency code systems, diversity/multi-antenna systems, space transmit diversity, etc., can solve the problem that the residual frequency offset convergence is not small, time offset and channel estimation errors are not considered, and it is not applicable And other issues

Inactive Publication Date: 2009-08-12
SHANDONG UNIV
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Problems solved by technology

[0033] In addition, most of the research on frequency offset estimation in MIMO-OFDM systems is based on the assumption that there is only frequency offset, and does not consider the influence of time offset and channel estimation error, which

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  • Improved frequency bias estimation method for wideband MIMO
  • Improved frequency bias estimation method for wideband MIMO
  • Improved frequency bias estimation method for wideband MIMO

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Embodiment Construction

[0072] figure 2 A block diagram of the MIMO-OFDM system realized according to the present invention is given. In the figure, except the SR algorithm estimation frequency offset module 10, the other modules all adopt the common modules of the existing MIMO-OFDM system, and the functions of each module are as follows:

[0073] Source and symbol mapping module 1: a general module, which generates the data to be transmitted and maps it to the corresponding point of the constellation diagram according to the modulation method adopted.

[0074] N-point IFFT transformation module 2: a general module, which transforms N mapped signals of each frame into the frequency domain to obtain N-point time domain signals of the signal.

[0075] Add CP module 3: a general module, adding a cyclic prefix to each frame of data obtained.

[0076] D / A module 4: general-purpose module, which converts digital signals into analog signals.

[0077] IF and RF modulation module 5: General module, if th...

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Abstract

The invention discloses an improved broadband MIMO intermediate-frequency deviation estimation method. The method comprises the following steps: (1) sending a training sequence, namely sending out the training sequence through each sending antenna according to a designed training sequence sending mode; (2) frequency deviation estimation, namely carrying out frequency deviation estimation by using the combination of an improved SR algorithm and an iteration method, setting initial frequency deviation epsilon, acquiring a frequency deviation estimation value according to the improved SR algorithm and the iteration method on each receiving antenna, while acquiring a final frequency deviation estimation value by adopting a different method, wherein the improved SR algorithm is that after the estimation value of channel frequency domain response H (k) is de-noised, the estimation value is further acquired so as to acquire reconstructed signals; and (3) channel estimation, namely correcting the signals received by the receiving antenna according to the estimated frequency deviation, and estimating the channel. During channel estimation, the method well solves the problem of inaccurate frequency deviation estimation in the premises of considering frequency deviation influence and ensuring the performance of a system.

Description

technical field [0001] The invention relates to a broadband digital communication transmission method and belongs to the technical field of broadband wireless communication. Background technique [0002] With the development of Internet and multimedia services, the requirements for wireless mobile communication systems to provide broadband high-speed data transmission services are getting higher and higher. Since the available frequency resources are very limited, and because wireless communication systems are generally subject to strict power constraints, increasing the data transmission rate can only rely on the development of new technologies with higher spectral efficiency. In recent years, Multiple-Input Multiple-Output (Multiple-Input Multiple-Output hereinafter referred to as MIMO) and Orthogonal Frequency Division Multiplexing (hereinafter referred to as OFDM) are increasingly popular due to their advantages of high data transmission rate and high spectrum utilizatio...

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Application Information

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IPC IPC(8): H04L27/26H04B7/06H04B7/08
Inventor 杜岩梁辉刘瑞元
Owner SHANDONG UNIV
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