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High-precision signal-to-noise ratio fitting model and soil humidity inversion method based on same

A soil moisture, high-precision technology, used in measuring devices, instruments, material analysis by electromagnetic means, etc., can solve problems such as inability to model, low precision, and inability to accurately describe the coupling effect between direct reflection signals, and achieve the characteristics of The effect of rich parameters and improved flexibility

Pending Publication Date: 2020-06-26
山东航向电子科技有限公司
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Problems solved by technology

However, the standard sine function model with constant amplitude used in this technique has low accuracy for modeling the actual SNR, because the oscillation amplitude of the actual SNR is not constant, and it is calculated by two independent fittings. The method of modeling the signal-to-noise ratio cannot accurately describe the coupling effect between the direct reflection signals, and cannot model the coupling effect between the direct reflection signals

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  • High-precision signal-to-noise ratio fitting model and soil humidity inversion method based on same
  • High-precision signal-to-noise ratio fitting model and soil humidity inversion method based on same
  • High-precision signal-to-noise ratio fitting model and soil humidity inversion method based on same

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Embodiment 1

[0046] The high-precision SNR fitting model described in the present invention includes:

[0047]

[0048] Among them, SNR is the signal-to-noise ratio of the interference signal when the right-handed circularly polarized antenna is used to receive the interference signal; θ is the satellite elevation angle, which is a function of time and is determined by the satellite ephemeris or precise ephemeris; sin(θ) is The sine of the altitude angle; a 0 Fitting parameters for the signal-to-noise ratio amplification factor; a 1 is the frequency fitting parameter of the signal-to-noise ratio; a 2 is the phase fitting parameter of the signal-to-noise ratio; and respectively n 0 with n 1 order polynomial, and must meet the constraints shown in formulas (4) and (5); n 0 ,n 1 The value of is determined based on experience, but the two need to meet the relationship determined by formula (6); is a polynomial the fitting parameters; is a polynomial The fitting parameters o...

Embodiment 2

[0063] Such as Figure 5 As shown, on the basis of embodiment 1, the soil moisture inversion method based on the high-precision signal-to-noise ratio fitting model of the present invention comprises the following steps:

[0064] Step 1: Interference signal receiving and processing: Use the receiver to cooperate with the right-hand circularly polarized antenna to receive and process the interference signal, and record the interference signal in the form of signal-to-noise ratio data, and record the receiver's position, time, and satellite ephemeris information at the same time;

[0065] Step 2: Calculate satellite elevation and azimuth angles: Calculate the elevation and azimuth angles of each visible satellite according to time, receiver position and satellite ephemeris information;

[0066] Step 3: Select satellites: select satellites with the same orientation as the measurement area according to the orientation of the area to be measured relative to the location where the an...

Embodiment 3

[0083]On the basis of implementing 2, the soil moisture inversion operation based on the empirical model of the present invention includes:

[0084] Use step 5 to fit parameter a 1 ,a 2 Establish empirical inversion models respectively, where a 1 Indicates the oscillation frequency of the signal-to-noise ratio, a 2 Indicates the initial phase of the signal-to-noise ratio; through long-term and simultaneous collection of signal-to-noise ratio data and real soil moisture data, and processing the signal-to-noise ratio data according to steps 1 to 5, the information about a 1 with a 2 time series, and finally, using regression analysis techniques to establish a 1 、a 2 Linear or nonlinear model with soil moisture SMC.

[0085] Such as Figure 6 As shown, the results of soil moisture inversion using the soil moisture inversion method of the present invention, taking the inversion results of GPS No. 7 satellite and GPS No. 15 satellite as examples. Wherein the curve represent...

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Abstract

The invention discloses a high-precision signal-to-noise ratio fitting model and a soil humidity inversion method based on the same, and belongs to the technical field of soil humidity measurement. Ahigh-precision signal-to-noise ratio fitting model is realized based on the GNSS-IR technology. According to the invention, the model comprises the steps: carrying out the modeling on changes of direct signal power and reflected signal power; replacing all other characteristic parameters related to the soil humidity in the model by using fitting parameters; and finally, adding constraint conditions to the model to obtain a high-precision fitting model about signal-to-noise ratio data. According to the model, all characteristic parameters can be obtained only through one-step fitting; the signal-to-noise ratio data of the receiver is directly fitted by utilizing the model, an inversion model between fitting parameters and soil humidity is established for soil humidity inversion, trend termremoval operation does not need to be performed on the signal-to-noise ratio data in advance, direct and high-precision fitting modeling of the signal-to-noise ratio data is realized, and the flexibility of soil humidity inversion is improved; the problems in the prior art are solved.

Description

technical field [0001] The invention relates to a high-precision signal-to-noise ratio fitting model and a soil moisture inversion method based on the model, belonging to the technical field of soil moisture measurement. Background technique [0002] Soil moisture is an important parameter for studying the earth's water cycle. Accurate and continuous monitoring of changes in soil moisture is of great significance for studying changes in local meteorological conditions, adjusting agricultural production, and preventing and reducing disasters. The current soil moisture measurement technology is mainly divided into two categories, one is the contact soil moisture measurement method, and the other is the non-contact soil moisture measurement method. The contact measurement method needs to bury the soil moisture sensor into the soil. The burial process is easy to damage the soil structure, and this measurement method can only measure the soil moisture within a few centimeters aro...

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Application Information

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IPC IPC(8): G01N27/22G01N22/04
CPCG01N27/223G01N27/221G01N22/04
Inventor 杨东凯汉牟田常海宁王友权
Owner 山东航向电子科技有限公司