what is Erceg model?
The Erceg model is a mathematical model that is used to predict the propagation of a radio signal in a given environment. This model was developed by the Federal Communications Commission (FCC) to provide a more accurate and reliable method for predicting the performance of wireless communication systems.
The Erceg model is based on the long-distance path loss model, which predicts that the signal strength of a radio signal will decrease as the distance between the transmitter and the receiver increases. This model takes into account a variety of factors that can affect the propagation of a radio signal, including the frequency of the signal, the terrain, and the presence of obstacles such as buildings or trees.
The Erceg model is commonly used by engineers and other professionals who are involved in the design and implementation of wireless communication systems. By using this model, they can predict the performance of the system in a given environment, and identify any potential challenges or obstacles that may need to be addressed in order to optimize its performance.
Overall, the Erceg model is a valuable tool for predicting the propagation of a radio signal in a given environment, and for optimizing the performance of a wireless communication system.
The Erceg model is a mathematical model that is used to predict the propagation of a radio signal in a given environment. The exact expression for this model is not publicly available, as it is proprietary information owned by the Federal Communications Commission (FCC).
However, the general form of the Erceg model is similar to other models that are based on the long-distance path loss model. This model predicts that the signal strength of a radio signal will decrease as the distance between the transmitter and the receiver increases. This relationship is typically described by an equation of the form:
S(d) = P + 20 * log10(d) + G
The equation S(d) = P + 20 * log10(d) + G is a mathematical expression that is used to predict the signal strength of a radio signal at a given distance d from the transmitter. This equation is based on the long-distance path loss model, which predicts that the signal strength of a radio signal will decrease as the distance between the transmitter and the receiver increases.
The general form of this equation is derived as follows:
The signal strength of a radio signal at a given distance d from the transmitter is represented by the variable S(d).
The power of the signal at the transmitter is represented by the variable P.
The log-distance path loss model predicts that the signal strength of a radio signal will decrease as the distance between the transmitter and the receiver increases, according to the equation:
S(d) = P + 10 * n * log10(d)
where n is the path loss exponent, which describes the rate at which the signal strength decreases with distance.
- In the case of the Erceg model, the path loss exponent is typically set to 2, which means that the signal strength decreases by 20 dB for every decade increase in distance. This leads to the following equation:
S(d) = P + 20 * log10(d)
- The final form of the equation, S(d) = P + 20 * log10(d) + G, includes an additional gain factor G, which takes into account the impact of the environment on the signal. This factor can be positive or negative, depending on whether the environment is favourable or unfavourable for the propagation of the signal.
Overall, the equation S(d) = P + 20 * log10(d) + G is derived from the log-distance path loss model, and it takes into account the power of the signal at the transmitter
where S(d) is the signal strength at a distance d from the transmitter, P is the power of the signal at the transmitter, and G is a gain factor that takes into account the impact of the environment on the signal.
Overall, the exact expression for the Erceg model is not publicly available, but it is likely to be similar to other log-distance path loss models that are used to predict the propagation of a radio signal in a given environment.
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