All Exams Test series for 1 year @ ₹349 only
Question

A 1 mW signal having a bandwidth of 100 MHz is transmitted to a receiver through cable that has 40 dB loss. If the effective one side noise spectral density at the receiver is 10-20 Watt/Hz, then the signal to noise ratio at the receiver is

The correct answer is

50 dB

Signal Power Calculation

To determine the Signal-to-Noise Ratio (SNR), our first step involves calculating the signal power that reaches the receiver after passing through the transmission medium.

The initial signal power ($P_{in}$) is provided as:

$P_{in} = 1 \text{ mW}$

We must convert this power unit from milliwatts (mW) to Watts (W) for consistency in calculations:

$P_{in} = 1 \times 10^{-3} \text{ W}$

The signal experiences a loss of 40 dB through the cable. A decibel (dB) represents a logarithmic ratio. A loss of 40 dB indicates that the signal power is significantly reduced. The factor by which the power is reduced can be calculated using the formula $10^{(Loss_{dB}/10)}$:

The power reduction factor due to the cable loss is calculated as:

$$ \text{Loss Factor} = 10^{(40 \text{ dB} / 10)} = 10^4 $$

Now, we find the signal power at the receiver ($P_{rx}$) by dividing the initial signal power by this loss factor:

$$ P_{rx} = \frac{P_{in}}{\text{Loss Factor}} $$

$$ P_{rx} = \frac{1 \times 10^{-3} \text{ W}}{10^4} $$

$$ P_{rx} = 1 \times 10^{-7} \text{ W} $$

Noise Power Calculation

The next crucial step is to calculate the total noise power present in the signal's bandwidth at the receiver.

We are given the effective one-sided noise spectral density ($N_0$), which represents the noise power per unit of bandwidth:

$N_0 = 10^{-20} \text{ Watt/Hz}$

The signal has a bandwidth ($B$) of 100 MHz. We convert this bandwidth to Hertz (Hz) for our calculations:

$B = 100 \text{ MHz} = 100 \times 10^6 \text{ Hz} = 1 \times 10^8 \text{ Hz}$

The total noise power ($N$) within this bandwidth is found by multiplying the noise spectral density ($N_0$) by the bandwidth ($B$):

$$ N = N_0 \times B $$

$$ N = (10^{-20} \text{ Watt/Hz}) \times (1 \times 10^8 \text{ Hz}) $$

$$ N = 1 \times 10^{-12} \text{ W} $$

SNR Calculation Steps

With both the received signal power and the total noise power determined, we can now proceed to calculate the Signal-to-Noise Ratio (SNR).

Step 1: Signal Power Conversion

The initial signal power was converted from $1 \text{ mW}$ to $1 \times 10^{-3} \text{ W}$. This ensures all power values are in the same base unit (Watts).

Step 2: Received Signal Power

After applying the 40 dB cable loss, the signal power reaching the receiver was calculated:

$P_{rx} = 1 \times 10^{-7} \text{ W}$

Step 3: Noise Power Calculation

The total noise power within the specified $100 \text{ MHz}$ bandwidth was calculated using the noise spectral density:

$N = 1 \times 10^{-12} \text{ W}$

Step 4: Linear SNR Calculation

The Signal-to-Noise Ratio (SNR) in its linear form is obtained by dividing the received signal power ($P_{rx}$) by the noise power ($N$):

$$ SNR_{linear} = \frac{P_{rx}}{N} $$

$$ SNR_{linear} = \frac{1 \times 10^{-7} \text{ W}}{1 \times 10^{-12} \text{ W}} $$

$$ SNR_{linear} = 1 \times 10^{5} $$

Step 5: SNR to Decibels Conversion

Finally, to express the SNR in decibels (dB), which is common practice, we use the following logarithmic formula:

$$ SNR_{dB} = 10 \times \log_{10}(SNR_{linear}) $$

Substituting the calculated linear SNR:

$$ SNR_{dB} = 10 \times \log_{10}(1 \times 10^{5}) $$

The base-10 logarithm of $1 \times 10^{5}$ is simply 5.

$$ SNR_{dB} = 10 \times 5 $$

$$ SNR_{dB} = 50 \text{ dB} $$

Final Signal-to-Noise Ratio

The Signal-to-Noise Ratio (SNR) at the receiver, after considering the initial signal power, the cable loss, the signal bandwidth, and the noise spectral density, is determined to be 50 dB.

Was this answer helpful?

Important Questions from Noise in Analog Communication System

  1. Johnson noise is

  2. Consider the following statements regarding noise :

    1. The shot noise has a uniform spectral density like thermal noise.

    2. For the amplifying devices, the shot noise is inversely proportional to the output current.

    3. The partition noise in a diode will be higher than that in a transistor.

    Which of the above statements is/are not correct?

  3. Consider the following statements regarding white noise :

    1. The white noise contains all the frequency components in equal proportion.

    2. Johnson noise is an example of white noise.

    3. The white noise has a Gaussian distribution.

    Which of the above statements are correct?

Need Expert Advice?

Start Your Preparation with Prepp Mobile App

Download the app from Google Play & App Store
Download the app from Google Play & App Store
Prepp Mobile App