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MIMO signal covariance matrix estimation method

A technology of covariance matrix and signal, applied in the field of MIMO wireless communication system

Active Publication Date: 2013-08-21
HUAWEI TECH CO LTD
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a low-complexity and high-precision estimation method for the covariance matrix of MIMO signals in a MIMO wireless communication system

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Embodiment Construction

[0037] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. the embodiment. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0038] The covariance matrix estimation of the MIMO signal mainly refers to estimating the covariance matrix of the MIMO signal by using the received signal samples at the receiving end of the MIMO system. The method is as follows:

[0039] 1) First, obtain continuous N-point observation samples of the MIMO signal in the time domain at the receiving end , where each s n are all N r ×1 column vector, re...

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Abstract

Provided is an MIMO signal covariance matrix estimation method. Through utilization of observational samples of MIMO signals, a covariance matrix of the MIMO signals on all frequency components is estimated. The method includes the steps: (1) figuring out a sample self-correlation function based on the observational samples of the MIMO signals received by a receiving terminal; (2) constructing a low-complexity SDP problem utilizing the sample self-correlation function, and obtaining an optimal solution of the problem through utilization of an SDP solving tool; (3) obtaining an estimated value of the self-correlation function of the MIMO signals through the optimal solution of the SDP problem; (4) obtaining an estimated value of the covariance matrix of the MIMO signals on all frequency components through utilization of the estimated value of the self-correlation function of the MIMO signals. The MIMO signal covariance matrix estimation method has the advantages that computation complexity is obviously reduced compared with a traditional method through utilization of the SDP problem, the estimation error can reach the minimum in the meaning of least square, and the estimated covariance matrix can be positive semi-definite on all frequencies.

Description

technical field [0001] The invention relates to a MIMO wireless communication system, in particular to estimating the covariance matrix of MIMO signals in the MIMO wireless communication system. Background technique [0002] In the case of increasingly tight spectrum resources, further improving spectrum efficiency is one of the important goals of wireless communication system design. The wireless transmission technology of multi-antenna transmission and multi-antenna reception (MIMO) can improve the effectiveness and reliability of wireless transmission by mining space dimension resources without additional time and frequency resources, and finally achieve improved spectrum efficiency. the goal of. MIMO technology has been one of the mainstream technologies in the field of wireless communication research for more than ten years. [0003] Due to the adoption of multi-antenna transmission and reception, MIMO signals not only have time-frequency characteristics, but also hav...

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Application Information

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IPC IPC(8): H04B7/04H04B7/08
Inventor 高西奇孟鑫江彬仲文
Owner HUAWEI TECH CO LTD
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