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Licchavi Lyceum

Signal to Noise Ratio

The Signal-to-Noise Ratio (SNR) is an important parameter in communication systems that measures the strength of a desired signal relative to the background noise present in the system. It indicates how clearly a signal can be received or processed in the presence of noise.

A higher SNR means the signal is much stronger than the noise, resulting in better signal quality and more reliable communication.

Definition of Signal to Noise Ratio

Signal-to-noise ratio is defined as the ratio of signal power to noise power.

\[
\text{SNR} = \frac{P_s}{P_n}
\]

where

\(P_s\) = signal power
\(P_n\) = noise power

SNR in Decibels

In communication systems, SNR is usually expressed in decibels (dB) because it provides a convenient logarithmic scale for comparing power levels.

\[
\text{SNR}_{dB} = 10 \log_{10}\left(\frac{P_s}{P_n}\right)
\]

If voltage values are used instead of power:

\[
\text{SNR}_{dB} = 20 \log_{10}\left(\frac{V_s}{V_n}\right)
\]

where

\(V_s\) = signal voltage
\(V_n\) = noise voltage

Importance of SNR

Signal-to-noise ratio is crucial because it determines the quality and reliability of communication.

High SNR → Clear signal, low distortion
Low SNR → Signal becomes difficult to distinguish from noise

In communication receivers, improving SNR leads to better audio quality, fewer errors, and more
accurate signal recovery
.

Factors Affecting SNR

Several factors influence the signal-to-noise ratio in a communication system:

Transmitted Signal Power

Increasing the signal power improves the SNR.

Channel Noise

Noise generated in transmission channels reduces SNR.

Bandwidth

Larger bandwidth allows more noise to enter the system.

Receiver Design

Low-noise amplifiers and filters improve SNR.

Methods to Improve SNR

Communication systems use several techniques to improve SNR:

• Increasing transmitter power
• Using band-pass filters
• Using low-noise amplifiers
• Reducing bandwidth
• Using frequency modulation (FM) instead of AM
• Employing error correction techniques

SNR in Communication Systems

AM Systems

AM signals are more sensitive to noise because noise affects amplitude directly.

FM Systems

FM systems provide better noise immunity, resulting in improved SNR.

Digital Communication

In digital systems, SNR determines the bit error rate (BER).