relative_noise_bw()

Computes the relative noise bandwidth of the smoothing windows used by the fs() function

Syntax
y = relative_noise_bw(winType, winConst)

Arguments

Examples

winType = "Kaiser"
winConst = 8
relNoiseBW = relative_noise_bw("Kaiser", 8) = 1.666
Vfund=vOut[1]
VoltageSpectralDensity = fs(Vfund, , , , , winType, winConst)
PowerSpectralDensity = 0.5 * mag(VoltageSpectralDensity**2)/50/relNoiseBW

where vOut is the named connection at a 50-ohm load, and it is an output from a Circuit Envelope simulation.

Note vOut is a named connection on the schematic. Assuming that a Circuit Envelope simulation was run, vOut is output to the dataset as a two-dimensional matrix. The first dimension is time, and there is a value for each time point in the simulation. The second dimension is frequency, and there is a value for each fundamental frequency, each harmonic, and each mixing term in the analysis, as well as the baseband term. vOut[1] is the equivalent of vOut[::, 1], and specifies all time points at the lowest non-baseband frequency (the fundamental analysis frequency, unless a multitone analysis has been run and there are mixing products). For former MDS users, the notation "vOut[*, 2]" in MDS corresponds to the notation of "vOut[1]".

Defined in

$HPEESOF_DIR/expressions/ael/digital_wireless_fun.ael

See Also

acpr_vi(), acpr_vr(), channel_power_vi(), channel_power_vr(), fs()

Notes/Equations

Used in The following functions: acpr_vi, acpr_vr, channel_power_vi, channel_power_vr.

The relative noise bandwidth function is used to account for the fact that as windows are applied, the effective noise bandwidth increases with respect to the normal resolution bandwidth. The resolution bandwidth is determined by the time span and not by the displayed frequency resolution.