An Error Estimation Method for Parallel Alternate Sampling System Based on Rotation Matrix

Abstract

The invention discloses a method for estimating the error of a parallel alternate sampling system based on a rotation matrix, which includes the following steps: 1. Input and set initial parameters; Sampling sequence, and then perform fast Fourier transform to the frequency domain, correspondingly obtain M training samples, and M training samples form a training sample set 3. Error estimation: use a data processor and use the constructed training sample set to calculate the error Estimation, the process is as follows: error estimation uses dual-frequency point selection, covariance matrix estimation, eigendecomposition, large eigenvalue and its corresponding eigenvector extraction and time base error estimation. The method of the invention has simple steps, reasonable design, convenient implementation, and good use effect, and can effectively solve the problems of the existing parallel alternate sampling system error estimation method that the estimation process is complex, requires multiple iterations and is not easy to converge, the amount of calculation is large, and it is easy to fall into the local area. Defects and deficiencies such as minimal points.

Description

Technical field [0001] The invention relates to an error estimation method of parallel alternating sampling system, in particular to an error estimation method of parallel alternating sampling system based on a rotation matrix. Background technique [0002] With the continuous expansion of the application range of digital signal processing technology, the frequency bandwidth (referred to as bandwidth) of the signal to be processed has also become larger. In terms of signal bandwidth, signals can be divided into three types: narrowband signals, wideband signals, and ultra-wideband signals. In most cases, narrowband signals can be sampled with a single ADC conversion chip to achieve high accuracy; under the premise of meeting the sampling theorem, wideband signals can generally be sampled by a single high-rate ADC conversion chip, but the accuracy is generally low. Can not perform high-precision sampling, cannot meet the requirements of large dynamic range, and the hardware cost o...

AI Technical Summary

Problems solved by technology

[0008] The technical problem to be solved by the present invention is to provide a method for estimating the error of a parallel alternate sampling system based on a rotation matrix in view of the deficiencies in the above-mentioned prior art. The existing parallel alternate sampling system error estimation methods have defects and deficiencies such as complex estimation process, multiple iterations required, difficult convergence, large amount of calculation, and easy to fall into local minimum points.

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