Difference between revisions of "Diode and Transistor Noise"
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We can then express the drain current noise of a MOSFET as the sum of the thermal noise and flicker noise components respectively: | We can then express the drain current noise of a MOSFET as the sum of the thermal noise and flicker noise components respectively: | ||
− | {{NumBlk|::|<math>\overline{i^2_d} = 4kT\gamma g_{ds0} \ | + | {{NumBlk|::|<math>\overline{i^2_d} = 4kT\gamma g_{ds0} \Delta f + K_f \frac{I_D^a}{C_{\mathrm{ox}} L_{\mathrm{eff}}^2 f^e} \Delta f</math>|{{EquationRef|4}}}} |
− | Note that <math>\gamma</math> is known as the ''excess noise coefficient'', and is equal to <math>\tfrac{2}{3}</math> for long channel devices, and <math>g_{ds0}</math> is the drain-source conductance in the triode region, over a bandwidth of <math>\ | + | Note that <math>\gamma</math> is known as the ''excess noise coefficient'', and is equal to <math>\tfrac{2}{3}</math> for long channel devices, and <math>g_{ds0}</math> is the drain-source conductance in the triode region, over a bandwidth of <math>\Delta f</math>. The constants <math>K_f</math>, <math>a</math>, and <math>e</math> are process dependent, and are usually determined empirically. In most cases, using <math>g_{ds0}</math> is not very convenient. For long channel devices with <math>V_{DS}=0</math>: |
{{NumBlk|::|<math>g_{ds0} = \frac{\partial I_D}{\partial V_{DS}}=\mu C_\mathrm{ox}\frac{W}{L}\left(V_{GS}-V_{TH}\right) = g_m</math>|{{EquationRef|5}}}} | {{NumBlk|::|<math>g_{ds0} = \frac{\partial I_D}{\partial V_{DS}}=\mu C_\mathrm{ox}\frac{W}{L}\left(V_{GS}-V_{TH}\right) = g_m</math>|{{EquationRef|5}}}} | ||
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This allows us to use the transconductance instead. However, for short-channel devices, <math>g_m\neg_{ds0}</math>. To correct for this, we can introduce a new parameter <math>\alpha=\tfrac{g_m}{g_{ds0}}</math>, leading to an alternative expression for the drain current noise: | This allows us to use the transconductance instead. However, for short-channel devices, <math>g_m\neg_{ds0}</math>. To correct for this, we can introduce a new parameter <math>\alpha=\tfrac{g_m}{g_{ds0}}</math>, leading to an alternative expression for the drain current noise: | ||
− | {{NumBlk|::|<math>\overline{i^2_d} = 4kT\frac{\gamma}{\alpha} g_m \ | + | {{NumBlk|::|<math>\overline{i^2_d} = 4kT\frac{\gamma}{\alpha} g_m \Delta f + K_f \frac{I_D^a}{C_{\mathrm{ox}} L_{\mathrm{eff}}^2 f^e} \Delta f</math>|{{EquationRef|6}}}} |
− | Fig. 3 shows the power spectral density of the MOSFET drain current noise. Note that the spectral density of flicker noise is not white since there is more power in the lower frequencies, thus the term ''pink noise'' in reference to the low frequency colors of the visible electromagnetic spectrum. | + | Fig. 3 shows the power spectral density of the MOSFET drain current noise. Note that the spectral density of flicker noise is not white since there is more power in the lower frequencies, thus the term ''pink noise'' in reference to the low frequency colors of the visible electromagnetic spectrum. Since the spectral density is not white, we cannot just multiply the spectral density with the bandwidth <math>B</math>, but instead, we need to integrate over <math>\Delta f</math> to get the total area under the spectral density curve. |
Revision as of 10:30, 5 October 2020
In active devices, aside from the thermal noise due to resistive elements, we have two additional sources of electronic noise: (1) shot noise in PN junctions, and (2) flicker noise in MOSFETs.
Diode Noise
Shot noise is the random movement of quantized charges flowing through a forward-biased PN junction. The shot noise power in a diode, shown in Fig. 1, is given by:
-
(1)
-
Where , is the DC current flowing through the diode, and is the observation bandwidth. Shot noise has a white power spectral density similar to thermal noise, however, it is independent of temperature and instead, is proportional to the DC diode current. Since noise, in general, can be considered a "small signal", we normally include the noise generators in the diode small signal model.
BJT Noise
In a bipolar junction transistor (BJT), both PN junctions produce shot noise, which we model as:
-
(2)
-
-
(3)
-
Fig. 2 shows the small signal model of the BJT, showing the shot noise generators, and , and the thermal noise generators for the physical terminal resistances, , , and . Note that the small signal resistances and are not physical resistors. These small signal resistors are used to model mechanisms such as recombination and base-width modulation, and thus, do not generate noise.
MOSFET Noise
The MOSFET has two noise mechanisms present: (1) thermal noise due to the channel and terminal resistances, and (2) flicker noise due to vacant energy levels or surface states or traps in the interface between the channel and the gate oxide layer. These surface states trap charges for a short period of time, and is then released, producing random changes in the current. Since the probability of charges getting trapped in these surface states is (approximately) inversely proportional to frequency, flicker noise is also known as noise.
We can then express the drain current noise of a MOSFET as the sum of the thermal noise and flicker noise components respectively:
-
(4)
-
Note that is known as the excess noise coefficient, and is equal to for long channel devices, and is the drain-source conductance in the triode region, over a bandwidth of . The constants , , and are process dependent, and are usually determined empirically. In most cases, using is not very convenient. For long channel devices with :
-
(5)
-
This allows us to use the transconductance instead. However, for short-channel devices, . To correct for this, we can introduce a new parameter , leading to an alternative expression for the drain current noise:
-
(6)
-
Fig. 3 shows the power spectral density of the MOSFET drain current noise. Note that the spectral density of flicker noise is not white since there is more power in the lower frequencies, thus the term pink noise in reference to the low frequency colors of the visible electromagnetic spectrum. Since the spectral density is not white, we cannot just multiply the spectral density with the bandwidth , but instead, we need to integrate over to get the total area under the spectral density curve.