B & D.
Study Guide book
signal-to-noise ratio (SNR) A measure of received signal quality, calculated
as the difference between the signal’s RSSI and the noise floor. A higher
SNR is preferred.
SNR: signal-to-noise ratio
RSSI: Received Signal Strength Indicator
NF: Noise floor
SNR(dB) = RSSI(dBm) - NF(dBm)
RSSI is the power of the received signal.
B & D are correct
To compute the SNR (Signal-to-Noise Ratio), you need the following two pieces of information:
noise floor: This is the measure of the level of background noise in the environment.
RSSI (Received Signal Strength Indicator): This indicates the strength of the received signal.
The correct answers are B. noise floor and D. RSSI.
Signal-to-Noise Ratio (SNR) is a measure of the signal strength relative to the background noise level in a wireless communication system. To compute SNR, the following two pieces of information are necessary:
Noise floor: The noise floor is the level of background noise present in the wireless environment. It represents the total power of all interfering signals, thermal noise, and other sources of noise. The noise floor is typically measured in decibels (dB) and is an important factor in determining the SNR.
Received Signal Strength Indicator (RSSI): RSSI is a measurement of the power level of the received signal at the receiver. It represents the strength of the signal as perceived by the receiver and is typically measured in dBm (decibels relative to milliwatts). RSSI provides information about the received signal power, which is necessary to calculate the SNR.
Ref: Signal-to-noise ratio – Wikipedia
“…
Definition
Signal-to-noise ratio is defined as the ratio of the power of a signal (meaningful input) to the power of background noise (meaningless or unwanted input):
…”
A. transmit power
Correct answer.
B. noise floor
Correct answer.
C. EIRP
Wrong answer.
D. RSSI
Wrong answer.
E. antenna gain
Wrong answer.
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