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
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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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