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
From the measurement data, find the empirical exponent that best fit the data. L db = 20 log (f)+10nlog(d)-147.56db Part
-
- Site Admin
- Posts: 899603
- Joined: Mon Aug 02, 2021 8:13 am