From the measurement data, find the empirical exponent that best fit the data. L db = 20 log (f)+10nlog(d)-147.56db Part
Posted: Wed Jul 06, 2022 11:47 am
From the measurement data, find the empirical exponent that bestfit the data.L db = 20 log (f)+10nlog(d)-147.56db
Part I:Find a and n to fit the curve a + n x, where x=10 log(d).Minimize S=∑_(all i)▒(a+nx_i-L_i )^2 Solving the above can be done through curve fitting tool inMatLab.It can also be done through equating derivatives w.r.t a and n tozero and solve the resulting system of 2 linear equations.
Part II:Second, find n to fit the curve a + n x, Given a=20log(f) – 147.56,f=900MHz.Same as the previous equation but with a fixed. Hence, we cannotuse the curve fitting tool. Instead we should differentiate w.r.tn, i.e., solving 1 linear equation.
Repeat the above for horizontal and vertical cases.
Plot the original and fitted data on the same graph.
Type or paste question here
Part I:Find a and n to fit the curve a + n x, where x=10 log(d).Minimize S=∑_(all i)▒(a+nx_i-L_i )^2 Solving the above can be done through curve fitting tool inMatLab.It can also be done through equating derivatives w.r.t a and n tozero and solve the resulting system of 2 linear equations.
Part II:Second, find n to fit the curve a + n x, Given a=20log(f) – 147.56,f=900MHz.Same as the previous equation but with a fixed. Hence, we cannotuse the curve fitting tool. Instead we should differentiate w.r.tn, i.e., solving 1 linear equation.
Repeat the above for horizontal and vertical cases.
Plot the original and fitted data on the same graph.
Type or paste question here