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When using (23) to calculate, Eno is equal to 0.906 mVrms, when the measured sensor impedance and equation. (17) is used. It can be seen that the two methods provide similar results. The measured rms output noise voltage Eno is 0.85 mVrms.

Using the calculation method of (23), Eno is equal to 0.906 mV root mean square; However, when the measured sensor impedance and equation (17) are used for calculation, Eno is equal to 0.929 mV rms. Obviously, the results of these two calculation methods are similar; The measured root mean square of the output noise voltage Eno is 0.85mV root mean square.

This value is very close to the analytical calculation value. Figure 7 shows the relationship between the output noise voltage and RT, and it can be seen that the noise performance is very small for the selected value. RT value of 10 MU ensures correct bias of OPA657 and provides noise performance similar to higher values.

This value is very close to the value calculated by analytical method. Fig. 7 shows the dependence on the output noise voltage from wireless communication (RT), in which it can be observed that the noise performance of the selected value is very small. The RT of 10 microwave unit can ensure the correct magnetic bias of OPA657 and provide the same noise performance as higher values.

Finally, the power spectral density and root-mean-square output noise voltage of the output noise are measured by using Agilent E440 1B-ESA spectrum analyzer. Fig. 8 shows the measured value of ento2 with a solid line, and shows the value obtained by analysis using expression (7) with a dashed line. It can be seen that the analytical model is very close to the measured performance.

Finally, the spectrum analyzer E440 1B-ESA of Agilent Company of America is used to measure the power spectral density and root mean square of the output noise voltage. Fig. 8 shows a comparison between the measured solid line of ento2 and the dashed line obtained by the performance analysis method (7). From this point of view, the performance of approximate measurement of analytical model is analyzed.