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matlab evm,Error Vector Magnitude (EVM)

Structure

The model essentially contains three parts:

Transmitter

Receiver impairments

EVM calculation

The following sections of the tutorial contain descriptions for each part of

the model.

Transmitter.The following blocks comprise the transmitter:

The Random Integer Generator block simulates random data generation. The

EDGE standard specifies that the transmitter performs measurements during

the useful part of the burst – excluding tail bits – over at least 200

bursts. In this mode, the transmitter produces 435 symbols per burst (9

additional symbols account for filter delays). The Phase Offset block

provides continuous 3π/8 phase rotation to the signal. For synchronization

purposes, the Upsample block oversamples the signal by a factor of 4.

The Discrete FIR Filter block provides a GMSK pulse linearization, the

main component in a Laurent decomposition of the GMSK modulation [3]. A

helper function computes the filter coefficients and uses a direct-form FIR

digital filter to create the pulse shaping effect. The filter normalization

provides unity gain at the main tap.

The I/Q Imbalance block simulates transmitter impairments. This block adds

rotation to the signal, simulating a defect in the transmitter under test.

The I/Q amplitude imbalance is

0.5 dB, and I/Q phase

imbalance is 1°.

Receiver Impairments.In this model, the Receiver Thermal Noise block represents receiver

impairments. This model assumes 290 K of thermal noise, representing

imperfections of the hardware under test.

EVM Calculation.The EVM calculation relies upon the following blocks:

The EVM measurement block computes the vector difference between an ideal

reference signal and an impaired signal. The output of the FIR filter

provides the Reference input for the EVM block. The

output of the Noise Temperature block provides the impaired signal at the

Input port of the EVM block.

While the block has different normalization options available, the EDGE

standard requires normalizing by the Average reference signal

power. For illustration purposes in this example, the EVM

block outputs RMS, maximum, and percentile measurement values.

Experimenting with the Model

Run the model by clicking the play button in the Simulink model

window.

Examine the output of the EVM block and compare the measurements

to the limits in the EDGE Standard Measurement Specifications

table.

In this example, the EVM Measurement block computes the

following:

Worst case RMS EVM per burst: 9.77%

Peak EVM: 18.95%

95th Percentile EVM:14.76%

As a result, this simulated EDGE transmitter passes the EVM test

for a Mobile Station under extreme conditions.

Double-click the I/Q Imbalance block.

Enter 2 into I/Q Imbalance

(dB) and click OK.

Click the Play button in the Simulink model window.

Examine the output of the EVM block. Then, compare the

measurements to the limits in the EDGE Standard Measurement

Specifications table.

In this example, the EVM Measurement block computes the following

results:

Worst case RMS EVM per burst: 15.15%

Peak EVM: 29.73%

95th Percentile EVM: 22.55%.

These EVM values are clearly unacceptable according to the EDGE

standard. You can experiment with the other I/Q imbalance values,

examine the impact on calculations, and compare them to the values

provided in the table.