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Array Amplitude and Phase Error Estimation Method Based on Sparse Reconstruction Algorithm

An array amplitude-phase error and amplitude-phase error technology, which is applied in the field of array amplitude-phase error estimation based on sparse reconstruction algorithm, can solve the problems that affect the estimation result, the amount of adjusting the clutter spectral sparsity is difficult to determine, etc., and achieve the estimated value Accurate, reduce the number of solutions, improve the effect of the effect

Active Publication Date: 2021-05-07
XIDIAN UNIV
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Problems solved by technology

With the wide application of compressive sensing algorithm in array signal processing, Zeqiang Ma et al. proposed a self-correction algorithm for airborne radar amplitude and phase error IAD-SR-STAP based on compressive sensing, which combines compressive sensing and total least squares algorithm , through iterative solution to obtain the estimation of the amplitude and phase error, but it is usually difficult to determine the amount of adjusting the sparsity of the clutter spectrum in the sparse formula, which will greatly affect the estimation result

Method used

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  • Array Amplitude and Phase Error Estimation Method Based on Sparse Reconstruction Algorithm
  • Array Amplitude and Phase Error Estimation Method Based on Sparse Reconstruction Algorithm
  • Array Amplitude and Phase Error Estimation Method Based on Sparse Reconstruction Algorithm

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Embodiment 1

[0062] See figure 1 , figure 1 yes figure 1 It is a flowchart of an array amplitude and phase error estimation method based on a sparse reconstruction algorithm provided by an embodiment of the present invention. As shown in the figure, the array amplitude and phase error estimation method based on a sparse reconstruction algorithm in this embodiment includes:

[0063] S1: Obtain the space-time data Y received by the antenna array;

[0064] Specifically, the space-time data Y received by the antenna array is obtained according to the number N of array elements and the number L of pulses,

[0065]

[0066] Among them, Φ represents the standard array flow pattern dictionary matrix, X represents the clutter spectrum, Indicates the amplitude and phase error of the real array, and N indicates the number of array elements.

[0067] S2: Initialize the additive amplitude and phase error p k , according to the additive amplitude and phase error p k , construct a dictionary ma...

Embodiment 2

[0106] In this embodiment, a simulation experiment is performed on the array amplitude and phase error estimation method based on the sparse reconstruction algorithm in the first embodiment, to further illustrate the effect of the method of the present invention.

[0107] In this embodiment, the antenna array structure adopts a uniform linear array, the number of array elements N is 16, the distance between the array elements is d=λ / 2, the number of pulses L is 4, and only the azimuth dimension is considered. The simulation of this embodiment The experiment uses the Ward clutter model for clutter simulation, and adds random white noise. The simulation parameters are shown in Table 1.

[0108] Table 1 Simulation parameters

[0109] platform speed 100m / s antenna array 16X1 line array Number of pulses 4 repeat frequency 4000Hz main beam pointing (0°) noise-to-noise ratio 20dB

[0110] In this embodiment, the IAD-SR-STAP algorithm ...

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Abstract

The invention relates to a method for estimating array amplitude and phase errors based on a sparse reconstruction algorithm, which includes: obtaining space-time data received by an antenna array; first constructing a standard array flow pattern dictionary matrix, and then initializing the additive amplitude and phase error to obtain The dictionary matrix of amplitude and phase errors; use the sparse formula to iteratively calculate the amplitude and phase errors and clutter spectrum, and then use the least squares to correct the dictionary matrix with amplitude and phase errors, and then perform cyclic iteration estimation to achieve two adjacent clutter spectrum estimation errors Stop when the desired condition is met. The array amplitude and phase error estimation method based on the sparse reconstruction algorithm of the present invention double estimates the amplitude and phase error of the array based on the multiplicative and additive amplitude and phase error representation method, and continuously updates the amplitude and phase error in the sparse iteration process, so that the The estimated value of the clutter spectrum is more accurate, and the calculation amount of the array amplitude and phase error estimation method of the present invention is greatly reduced.

Description

technical field [0001] The invention belongs to the technical field of radar, and in particular relates to an array amplitude and phase error estimation method based on a sparse reconstruction algorithm. Background technique [0002] Array signal processing technology has been widely used in many fields such as radar and communication. Its biggest advantage is that it can perform beamforming in the direction of interest to increase the energy of the signal, and form a gain null in the interference direction. However, many array signal processing algorithms are based on ideal array flow patterns, and this assumed ideal model often cannot meet the actual situation. There are many errors in the actual array radar system, including array amplitude and phase errors, position errors, and mutual coupling between array elements. Due to the sensitivity of array signal processing algorithms to array errors, scholars have proposed many array error correction algorithms, including acti...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06F17/16
CPCG06F17/16
Inventor 王彤吴佳丽王瑛琪陈金铭
Owner XIDIAN UNIV
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