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Steady broadband frequency domain channel correction method based on singular value decomposition

A singular value decomposition and channel correction technology, applied in the field of broadband frequency domain channel correction, can solve problems such as large amount of calculation, slow operation speed, inability to solve the order of equalization filter, etc., to achieve faster calculation speed and less calculation amount. Effect

Active Publication Date: 2020-05-15
XIDIAN UNIV
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Problems solved by technology

However, this method has a large amount of calculation and a relatively slow operation speed. In practical applications, the order of the equalization filter cannot be solved due to the rank reduction of the matrix caused by the data accuracy.

Method used

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  • Steady broadband frequency domain channel correction method based on singular value decomposition
  • Steady broadband frequency domain channel correction method based on singular value decomposition
  • Steady broadband frequency domain channel correction method based on singular value decomposition

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Embodiment Construction

[0055] The present invention will be described in further detail below in conjunction with specific examples, but the embodiments of the present invention are not limited thereto.

[0056] See figure 1 , figure 1 It is a block diagram of steps of a robust wideband frequency domain channel correction method based on singular value decomposition provided by an embodiment of the present invention, including:

[0057] Step 1, obtain a wideband pulse signal, pour the same wideband pulse signal in the wideband pulse signal into the mismatched N channels with the initial phase, and obtain the single PRT (Pulse Recurrence Time, pulse repetition period) of each mismatched channel The output signal y(n)n=0,1,...K-1 indicates that the number of points of each pulse echo is K, and the Fourier transform of M points is performed on each channel echo to obtain the frequency spectrum of each mismatch channel:

[0058] Y k (m)=FFT(y(n)), n=0,1,...K-1, m=0,1,2...M, k=1,2...N,

[0059] Among...

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Abstract

The invention belongs to the technical field of array signal processing, and particularly relates to a steady broadband frequency domain channel correction method based on singular value decomposition, which comprises the following steps: transmitting correction signals to receive channel echo data and calculating the frequency spectrum of each channel; selecting a reference channel; obtaining thefrequency response of each channel equalization filter; solving a filter coefficient matrix vector by a filter frequency response function of the equalization filter; and performing singular value decomposition on the Fourier transform matrix to solve the optimal solution of the filter coefficient of the equalization filter. The method has the beneficial effects of reducing the calculation amount, accelerating the calculation speed and being high in robustness.

Description

technical field [0001] The invention belongs to the technical field of array signal processing, and in particular relates to a robust broadband frequency domain channel correction method based on singular value decomposition. Background technique [0002] In an actual array radar system, the initial amplitude and phase error of the transmit channel will cause the performance of the transmit beamforming algorithm to degrade, and the inconsistency between the amplitude and phase of the transmit channel will deform the transmit beam formed by the beamforming algorithm, which will seriously damage the characteristics of the antenna pattern. Serious decrease in antenna gain, high sidelobe level, deviation in beam pointing, etc. will have a great negative impact on the performance of the radar system as a whole. Inconsistencies in the amplitude and phase of the receive channel can cause serious degradation in signal processing performance. Moreover, the amplitude and phase of the...

Claims

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Application Information

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IPC IPC(8): G01S7/40
CPCG01S7/4008G01S7/406
Inventor 廖桂生赵鹏程杜佩鞠曾操张玉洪许京伟朱圣棋
Owner XIDIAN UNIV
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