Parallel alternate sampling system error estimation method based on rotation matrixes

A sampling system and error estimation technology, applied in signal transmission system, electrical signal transmission system, code conversion, etc., can solve the problems of complex estimation process, large amount of calculation, multiple iterations, etc.

Inactive Publication Date: 2014-05-07
CHANGAN UNIV
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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 exist

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  • Parallel alternate sampling system error estimation method based on rotation matrixes
  • Parallel alternate sampling system error estimation method based on rotation matrixes
  • Parallel alternate sampling system error estimation method based on rotation matrixes

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Embodiment Construction

[0052] like figure 2 A method for estimating an error in a parallel alternate sampling system based on a rotation matrix includes the following steps:

[0053] Step 1. Initial parameter input setting: through the parameter input unit 5, input the number M of A / D conversion chips 1 used in the parallel alternate sampling system that needs to be estimated for error, and the sampling of M said A / D conversion chips 1 frequency f s And the bandwidth bps of the sampled broadband signal s(t). The parameter input unit 5 is connected to a data processor 6 .

[0054] Wherein, M is a positive integer and M≥3.

[0055] Step 2, training sample construction: first take the sampling sequences of M described A / D conversion chips 1 in the same time period t, each of the sampling sequences of the A / D conversion chips 1 includes n sampling signals, wherein n =t×f s ; After fast Fourier transforming the M sampling sequences of the A / D conversion chip 1 into the frequency domain, correspondi...

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Abstract

The invention discloses a parallel alternate sampling system error estimation method based on rotation matrixes. The parallel alternate sampling system error estimation method based on the rotation matrixes comprises the following steps that (1) initial parameters are input and set; (2) training samples are built, wherein sampling sequences of M A/D conversion chips in the time quantum t are obtained, fast Fourier transform is carried out on the sampling sequences to enable the sampling sequences to be in the frequency domain, M training samples are correspondingly obtained, and a training sample set is formed by the M training samples; (3) error estimation is carried out, wherein error estimation is carried out by using a data processor and the built training sample set, and according to the process of error estimation, selection of double frequency points, covariance matrix estimation, characteristic decomposition, extraction of large characteristic values and characteristic vectors corresponding to the large characteristic values, and time-base error estimation are carried out. The parallel alternate sampling system error estimation method based on the rotation matrixes has the advantages of being small in number of the steps, reasonable in design, convenient to implement, good in using effect, and capable of effectively overcoming the defects that according to an existing parallel alternate sampling system error estimation method, the estimation process is complex, repeated iteration is needed, convergence cannot be easily carried out, the calculated amount is large, and the local minimum point can be easily generated.

Description

technical field [0001] The invention relates to a method for estimating an error in a parallel alternate sampling system, in particular to a method for estimating an error in a parallel alternate 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 is also increasing. In terms of signal bandwidth, signals can be divided into three categories: narrowband signals, broadband signals and ultra-wideband signals. Narrowband signals can be sampled with a single ADC conversion chip in most cases to achieve high precision; under the premise of satisfying the sampling theorem, wideband signals can generally be sampled with a single high-speed ADC conversion chip, but generally the accuracy is low. High-precision sampling cannot be performed, and the use requirements of a large dynamic rang...

Claims

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Application Information

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IPC IPC(8): H03M1/54
Inventor 马仑王元庆杨鹏马锐捷
Owner CHANGAN UNIV
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