Carrier-to-Noise Ratio Question

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In summary, carrier-to-noise ratio (CNR) is a measure of the signal strength compared to the level of background noise in a communication system and is typically expressed in decibels (dB). It is important in communication systems as it determines the quality and reliability of a signal transmission, and is calculated by taking the ratio of the carrier power to the noise power at a specific point in the system. A good CNR varies depending on the system and a CNR of 20 dB or higher is considered good. To improve CNR, the signal strength can be increased or background noise can be reduced through various methods.
  • #1
Kartik.Sulakh
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Homework Statement


A receiving system consists of an antenna with an effective noise temperature of
70 K. This antenna is connected to a microwave front end of noise figure 7 dB
via a feeder. The feeder’s specific attenuation function is 0.2 dB/10m. The actual
feeder length is 2 m. Calculate the carrier to noise power spectral density at the
output of the microwave front end if the received carrier power at the antenna
terminals is -100 dBm?

Homework Equations


I'm assuming it as Cmin = -174 + NF + 10Log10B + C/N

Where,
NF = Noise Figure,
B = Bandwidth, and C/N is a Carrier-to-Noise Ratio which is asked?

The Attempt at a Solution


Cmin = -110 dBm
Noise Figure (NF) = 7 dB & Struck up in knowing Bandwidth (B)

length of feeder is 2 meters,
feeder’s specific attenuation function is 0.2 dB/10m, What Next?
 
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  • #2


To calculate the carrier to noise power spectral density at the output of the microwave front end, we need to use the formula:

C/N = (Cmin - NF - 10Log10B)/(-1)

Where Cmin is the minimum carrier power at the output of the microwave front end, NF is the noise figure, and B is the bandwidth.

In this case, Cmin = -110 dBm, NF = 7 dB, and we need to determine the bandwidth.

To calculate the bandwidth, we need to first determine the frequency of the received carrier signal. This can be done using the formula:

f = c/λ

Where c is the speed of light (3 x 10^8 m/s) and λ is the wavelength, which can be calculated using the formula:

λ = c/f

In this case, the frequency of the received carrier signal is not given, so we will assume a commonly used frequency of 2.4 GHz.

Therefore, f = 2.4 GHz = 2.4 x 10^9 Hz

And λ = (3 x 10^8 m/s)/(2.4 x 10^9 Hz) = 0.125 m

Now, we can calculate the bandwidth using the formula:

B = 2 x λ = 2 x 0.125 m = 0.25 m

Plugging in the values, we get:

C/N = (-110 dBm - 7 dB - 10Log10(0.25 m))/(-1)
= (-110 dBm - 7 dB - (-6 dB))/(-1)
= (-110 dBm - 7 dB + 6 dB)/(-1)
= (-111 dBm)/(-1)
= 111 dBm

Therefore, the carrier to noise power spectral density at the output of the microwave front end is 111 dBm.
 

Related to Carrier-to-Noise Ratio Question

1. What is carrier-to-noise ratio (CNR)?

Carrier-to-noise ratio (CNR) is a measure of the signal strength compared to the level of background noise in a communication system. It is typically expressed in decibels (dB) and is used to determine the quality of a signal transmission.

2. Why is carrier-to-noise ratio important in communication systems?

CNR is important in communication systems because it is a key factor in determining the quality and reliability of a signal transmission. A high CNR indicates a strong signal and a low CNR can result in errors and data loss in the transmission.

3. How is carrier-to-noise ratio calculated?

CNR is calculated by taking the ratio of the carrier power (in dBm) to the noise power (in dBm) at a specific point in the communication system. This calculation can be done at various points along the transmission path to determine the overall CNR.

4. What is a good carrier-to-noise ratio?

A good CNR will vary depending on the type of communication system and the signal being transmitted. In general, a CNR of 20 dB or higher is considered good for most systems, while a CNR below 10 dB may result in poor signal quality and potential transmission issues.

5. How can carrier-to-noise ratio be improved?

CNR can be improved by increasing the signal strength or reducing the level of background noise in the communication system. This can be achieved through various methods such as using higher quality equipment, optimizing the signal path, and reducing interference from external sources.

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