Method and device for signal processing

Abstract

The invention discloses a method for signal processing. The method used for resisting interference well includes acquiring noise interference energy and noise interference cross-correlation of each sampling point of a diversity antenna to obtain a second noise interference covariance matrix; subjecting the second noise interference covariance matrix to dimension reduction, and obtaining at least one first noise interference covariance matrices; judging whether one of the first noise interference covariance matrices is peculiar; computing the ratio of product of off-diagonal elements and product of diagonal elements of each first noise interference covariance matrix after determining that one of the first noise interference covariance matrices is peculiar by judgment; reducing each off-diagonal element of the second noise interference covariance matrix according to one of the ratios and preset protection allowance; and detecting signals on the basis of the second noise interference covariance matrix with the off-diagonal elements reduced. The invention further discloses a device for realizing the method for signal processing.

Description

technical field [0001] The present invention relates to the communication field, in particular to a signal processing method and device. Background technique [0002] In modern mobile communication systems, the number of users is increasing day by day, but frequency resources are limited, so frequency reuse has to be carried out. However, frequency reuse inevitably causes co-frequency and adjacent-frequency interference. In order to ensure the quality of communication, how to suppress interference has gradually become an important issue faced by mobile communications. [0003] At present, the commonly used algorithms that can suppress the influence of interference and noise are: Maximum Ratio Combining (MRC), Interference Rejective Combining (IRC), Spatial Time Interference Rejective Combining (STIRC), continuous Interference cancellation (successive interference cancellation, SIC), parallel interference cancellation (parallel interference cancellation, PIC), etc. Compare...

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Problems solved by technology

However, in some cases, such as the noise-limited situation, the performance of the above-mentioned various interference suppression algorithms is poor, which is caused by the fact that the estimation error of the noise covariance matrix is ​​greater than the performance gain that the above-mentioned algorithms can bring

In another case, due to signal uncertainty and estimation error, the estimated noise covariance matrix will be singular, which will have a fatal impact on the subsequent interference suppression algorithm, resulting in receiver error

[0005] A method of modifying the covariance matrix and performing subsequent signal detection in the prior art, the judgment of the singularity of the matrix and the calculation of the correction amount are based on the entire received signal, rather than directly obtained from the covariance matrix. The correction process However, it is aimed at the covariance matrix, so there are problems that the judgment of whether the matrix is ​​singular may not be accurate, and the loading may not be optimal. In addition, it is more complicated to implement

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