An Antenna Grouping and Correction Method Based on the Maximum Correlation Signal-to-Noise Ratio Criterion
A technology of maximum correlation and antenna grouping, applied in the field of deep space exploration, can solve the problems of low utilization efficiency of antenna quantity resources and phase center drift, etc., achieve high utilization efficiency of antenna quantity resources, optimal phase correction, and realize the effect of phase correction
Active Publication Date: 2021-05-07
PLA PEOPLES LIBERATION ARMY OF CHINA STRATEGIC SUPPORT FORCE AEROSPACE ENG UNIV
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However, the Sumple algorithm still has some shortcomings: ① using virtual reference antennas in turn, without a fixed phase center; ② under the condition of low signal-to-noise ratio, there is a problem of phase center drift
For large-scale antenna arrays, the number of antennas is huge (up to 400), and the resource utilization efficiency of the number of antennas in the existing antenna grouping method is low
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[0027] The present invention will be described in detail below with reference to the accompanying drawings and examples.
[0028] The basic processing flow of the phase estimation algorithm is as follows: Firstly, the two signals are correlated (conjugated multiplication, cumulative average), and then the phase difference is estimated by using the arctangent phase discriminator. The correlation signal-to-noise ratio refers to the signal-to-noise ratio of the signal after correlation processing of two signals. The correlation signal-to-noise ratio directly determines the estimation performance of the arctangent phase discriminator. In order to simplify the analysis, traditional antenna array theory assumes that the arctangent phase discriminator is a maximum likelihood estimator whose estimated variance can reach the Cramer-Rao Lower Bound (CRLB). However, this assumption only applies when the associated signal-to-noise ratio is above moderate. In order to quantitatively anal...
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The invention provides an antenna grouping and correction method based on the criterion of the maximum correlation signal-to-noise ratio, which can effectively improve the utilization efficiency of the number of antennas and resources, and achieve the maximum correlation signal-to-noise ratio and optimal phase estimation performance. The present invention adopts an algorithm that couples multiple antennas together for correlation (the algorithm adopted by the present invention is called the Couple algorithm) to reflect the evolution process from the Simple and Sumple algorithms. Taking the maximum correlation signal-to-noise ratio as the criterion, a "L / 2 to L / 2" antenna grouping method is proposed. When the "L / 2 to L / 2" antenna grouping method is used, the maximum correlation signal-to-noise ratio can be achieved Ratio and optimal phase estimation performance, high utilization efficiency of antenna quantity and resources, reflecting the superiority of the Couple algorithm of the present invention.
Description
technical field [0001] The invention relates to the technical field of deep space exploration, in particular to an antenna grouping and correction method based on the maximum correlation signal-to-noise ratio criterion. Background technique [0002] At present, the Sumple algorithm is the signal synthesis method with the best comprehensive performance and the most extensive research and application. However, there are still some deficiencies in the Sumple algorithm: ① using virtual reference antennas in turn, without a fixed phase center; ② under the condition of low signal-to-noise ratio, there is a problem of phase center drift. In some application backgrounds of antenna arrays, it is required that the antenna array system has a fixed phase center. For example, when the antenna array is used for high-precision measurement tasks such as speed measurement and ranging or VLBI measurement, if the equivalent phase center of the array changes randomly, it will inevitably affect...
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IPC IPC(8): H04B7/06
CPCH04B7/0691
Inventor 焦义文马宏吴涛杨文革刘燕都陈永强陈雨迪刘培杰施又木李冬
Owner PLA PEOPLES LIBERATION ARMY OF CHINA STRATEGIC SUPPORT FORCE AEROSPACE ENG UNIV