evm = EngeeComms.EVM() creates an EVM system object.
Example:
evm = EngeeComms.EVM()
Usage
rmsEVM = EngeeComms.EVM(refSym,rxSym) - measures the percentage RMS value of the EVM of the received signal rxSym relative to the reference signal refSym.
A reference signal specified as a scalar, vector, matrix, or three-dimensional array. If you specify this input, the system object measures the EVM of this rxSym input, using this input as a signal constellation.
The dimensions of this input must match the dimensions of the rxSym input. The system object uses each element of this input as a reference symbol for the corresponding element of the rxSym input.
This object accepts variable-sized inputs. Once the object is locked, you can change the size of each input channel, but you cannot change the number of channels.
rmsEVM -.
RMS EVM value of the received signal in per cent
scalar
Details
The percentage RMS value of the EVM of the received signal over the configured measurement interval, returned as a scalar.
Типы данных
Float64
Properties
Methods
Common for all system objects
step!
Start the system object’s operating algorithm
Algorithms
The implementation supports three normalisation methods. You can normalise measurements according to the average power of the reference signal, the average power of the population, or the peak power of the population. Different industry standards follow one of these normalisation methods.
The algorithm calculates the RMS EVM differently for each normalisation method.
EVM normalisation method
Algorithm
Reference signal
Average power
Peak power
where
;
represents the in-phase measurement of the k-th symbol in the packet;
represents the quadrature phase measurement of the k-th symbol in the packet;
- is the length of the input vector;
- average power of the constellation;
- peak power of the constellation;
and represent ideal (reference) values. and represent measured (received) symbols.
The maximum EVM is the maximum EVM value in a frame or
, where is the k-th symbol in a packet of length .
The definition of depends on which normalisation method you choose to compute the measurements. The implementation supports these algorithms.
EVM normalisation method
Algorithm
Reference signal
Average power
Peak power
The implementation calculates -percentile EVM by creating a histogram of incoming values . This output provides the EVM value below which EVM values fall.