Understanding Noise Figure

                                                                           

                                                                                                 Iulian Rosu, YO3DAC / VA3IUL,  http://www.qsl.net/va3iul

                  pdf version

One of the most frequently discussed forms of noise is known as Thermal Noise.

Thermal noise is a random fluctuation in voltage caused by the random motion of charge carriers in any conducting medium at a temperature above absolute zero (K=273 + Celsius). This cannot exist at absolute zero because charge carriers cannot move at absolute zero. As the name implies, the amount of the thermal noise is to imagine a simple resistor at a temperature above absolute zero. If we'll use a very sensitive oscilloscope probe across the resistor, we'll see a very small AC noise being generated by the resistor.
    The RMS voltage is proportional to the temperature of the resistor and how resistive it is.

The formula to find the RMS thermal noise voltage of a resistor is:

Vn =

     k = Boltzman constant (1.38*10-23 Joules/Kelvin)
    T = Temperature in degrees Kelvin (K= +273  Celsius)
    R = Resistance in ohms
    B = Bandwidth in Hz in which the noise is observed (RMS voltage measured across the resistor is also function of the bandwidth in witch the measurement is made).

 

As an example, that 100 kΩ resistor, with 1MHz bandwidth, and room temperature, will add noise to the circuit as below:
                       

Vn = ( 4*1.38*10-23*300*100*103*1*106 )˝ = 40.7 μV RMS
 

     Low impedances are desirable in low noise circuits. For an easier job we may actually measure the noise of a device in a 1MHz bandwidth (it is easier), we usually convert the number to 1Hz bandwidth (the lowest band denominator) in order to compare it to other sources.

    Noise Bandwidth, B, is defined as the equivalent rectangular pass-band that passes the same amount of noise power as is passed in the usable receiver band, and that has the same peak in-band gain as the actual device has. It is the same as the integral of the gain of the device over the usable frequency bandwidth.

Typically, B is approximately equal to the 3 dB bandwidth. For best sensitivity, B should be no greater than required for the information bandwidth.
    In RF applications, we usually deal with circuits having matched input and output impedances, and are therefore more concerned with the power available from a device than the voltage. In this case, it is common to express the noise of a device in terms of the available noise power.

 

The Maximum Power Transfer Theorem predicts that the Noise Power delivered from a source to a matched load can be delivered:

 

P = (Voc/2)2/R = kTB = -174dBm/Hz (the reference noise level in a 1Hz bandwidth, at room temperature)

    In addition to thermal noise, amplifiers and other devices with semiconductors in them also contribute other forms to signal. Shot noise is a type of noise similar in spectral content to thermal noise. The noise is created in semiconductor junctions. Flicker noise also occurs in semiconductors. It is caused by random recombination of minority carriers in the depletion region of bipolar transistors.

 

Noise Figure

   

    To characterize the receiver alone, Harald T. Friis introduced in 1944 the Noise Figure (NF) concept which characterized the degradation in Signal to Noise Ratio (SNR) by the receiver.

                                        SNR_input[linear] = Input_Signal[Watt] / Input_Noise[Watt]                                       

                                        SNR_input[dB] = Input_Signal[dB] - Input_Noise[dB]

                                       

                                        SNR_output[linear] = Output_Signal[Watt] / Output_Noise[Watt]

                                        SNR_output[dB] = Output_Signal[dB] - Output_Noise[dB]

                                        NoiseFactor(linear) = SNR_input[linear] / SNR_output[linear]

                                        NF[dB] = 10*LOG (NoiseFactor)

                                        NF[dB] = SNR_input[dB] - SNR_output[dB]

The maximum Noise Figure of the receiver when is given the required Sensitivity and the required Bandwidth:

 

Receiver_Noise_Figure[dB] = 174 + Receiver_Sensitivity[dBm] – 10*LOG(BW[Hz]) – SNR[dB]

 

As can be seen from the formula above, narrow Bandwidth and smaller SNR will relax the required receiver Noise Figure requirements.  

For example a 10dB amplifier would amplify the Signal (and the Noise) at its input by 10dB. Therefore, although the noise floor at the output of the amplifier would be 10dB higher than at the input.

For example a 10dB attenuator placed at the input of an amplifier will increase the total Noise Figure of the system with 10dB.

    As an example let's assume that we have an amplifier at room temperature with 10dB of gain which has only a matched resistor at its output and output.

The noise at the input of the amplifier must be -174dBm/Hz.

If the amplifier is known to have a 3dB NF, the internal noise source adds an equal noise to the input noise before amplification.

Then 10dB of gain increases the noise by 10dB.

Therefore, the noise at the output of the amplifier is 13dB higher than at the input,

or (-174dBm/Hz + 10dB gain +3dB NF) = -161dBm/Hz.

 

Tout = G * ( Tampl + Tsource )

Tout = Noise Temperature at amplifier output in degrees Kelvin.
G = Power Gain in linear scale not dB.
Tampl = Noise Temperature of amplifier.
Tsource = Noise Temperature of source.

Tout = Gatt * ( Tatt + Tsource )

 If we use cascaded amplifiers:

 

 

 For above example both amplifiers has 10dB gain and NF=3dB.

The signal goes in at -40dBm with a noise floor at kTB (-174dBm/Hz).

We can calculate that the signal at the output of the first amplifier is -30dBm and the noise is (-174dBm/Hz input noise) + (10dB of gain) + (3dB NF) = -161dBm/Hz.

Let see how many kTBs are entering in the second amplifier.

(-161dBm/Hz) is 13dB greater than kTB (-174dBm).

13dB is a power ratio of 20x. So, the noise floor at the second amplifier is 20 times kTB or 20kTB.

Next calculate how many kTBs are added by the noise source of the second amplifier (in this case, 1kTB because the NF=3dB).

Finally calculate the increase in noise floor at the second amplifier as a ratio and convert to dB.

Ratio of (input noise floor) + (added noise) to (input noise floor) is (20kTB+1kTB) / (20kTB)= 20/21.

In dB = 10LOG (21/20)=0.21dB.

Therefore, the second amplifier only increases the noise floor by 0.21dB even though it has a noise figure of 3dB, simply because the noise floor at its input is significantly higher than kTB.

The first amplifier degrades the signal to noise ratio by 3dB, while the second amplifier degrades it only 0.21dB.

 Determining the total Noise Figure of a chain of amplifiers (or other devices) :

   

    NFactor_total = NFact1 + (NFact2-1)/G1 + (NFact3-1)/(G1*G2) + (NFact3-1)/(G1*G2*….Gn-1)

                

                 where     NFactor = Noise factor of each stage (Linear not in dB).

                                Noise Figure[dB] = 10*LOG(NFact)
                                G = Gain of each stage as a ratio, not dB (for example 4x, not 6dB)

 

    The first amplifier in a chain has the most significant effect on the total noise figure than any other amplifier in the chain. The lower noise figure amplifier should usually go first in a line of amplifiers (assuming all else is equal). If we have two amplifiers with equal gain, but with different noise figures. Assume 10dB gain in each amplifier. One amp is NF = 3dB and the other 6dB. When the 3dB NF amplifier is first in cascade, the total noise figure, the total NF is 3.62dB. When the 6dB amplifier is first, the total NF is 6.3dB. This also applies to gain.

 

 

Noise Figure of Other Devices

 

Types of Noise sources

 

            There are several types of noise sources in electrical circuits. However, we discuss only three important noise sources here.

        1. Thermal or Johnson - Nyquist Noise

        2. Shot Noise

        3. 1/f  Noise (Also called Flicker or Pink noise)

        4. White Noise

        5. Burst Noise

 

1. Thermal Noise

2. Shot Noise

3. Flicker Noise - 1/f (one-over-f) Noise

4. White Noise

5. Burst Noise

Noise reduction strategies

 

Noise is a serious problem, especially where low signal levels are experienced, there are a number of common sense approaches to minimize the effects of noise on a system. In this section we will examine several of these methods.

 

 

References:

1. Friis, H.T., Noise Figures of Radio Receivers, Proc. Of the IRE, July, 1944, pp 419-422.
2. RF Design Magazine, 1988-2000
3. Microwave Journal, 1998-2000
4. Applied Microwave Magazine, 1995-2000

5. RF Components and Circuits - J.Carr

6. Device Noise in Silicon RF Technologies - S.Martin, V. Archer, D.Boulin

 

http://www.qsl.net/va3iul