Error Vector Magnitude Matlab
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Notes PDF Documentation Measurements, Visualization, and Analysis Error Vector Magnitude (EVM) On this page Measuring Modulator Accuracy evm calculation Overview Structure References This is machine translation Translated by Mouse over text to see original. Click the button below to return to the English verison of the page. Back to English × Translate This Page Select Language Bulgarian Catalan Chinese Simplified Chinese Traditional Czech Danish Dutch English Estonian Finnish French German Greek Haitian Creole Hindi Hmong Daw Hungarian Indonesian Italian Japanese Korean Latvian Lithuanian Malay Maltese Norwegian Polish Portuguese Romanian Russian Slovak Slovenian Spanish Swedish Thai Turkish Ukrainian Vietnamese Welsh MathWorks Machine Translation The automated translation of this page is provided by a general purpose third party translator tool. MathWorks does not warrant, and disclaims all liability for, the accuracy, suitability, or fitness for purpose of the translation. Translate Error Vector Magnitude (EVM)Error Vector Magnitude (EVM) is a measurement of modulator or demodulator performance in the presence of impairments. Essentially, EVM is the vector difference at a given time between the ideal (transmitted) signal and the measured (received) signal. If used correctly, these measurements can help in identifying sources of signal degradation, such as: phase noise, I-Q imbalance, amplitude non-linearity and filter distortion These types of measurements are useful for determining system performance in communications applications. For example, determining if an EDGE system conforms to the 3GPP radio transmission standards requires accurate RMS, EVM, Peak EVM, and 95th percentile for the EVM measurements.Users can create the EVM object in two ways: using a default object or by defining parameter-v
Search All Support Resources Support Documentation MathWorks Search MathWorks.com MathWorks Documentation Support Documentation Toggle navigation Trial Software Product Updates Documentation Home Communications System Toolbox Examples Functions and Other Reference Release Notes PDF Documentation step On this page Syntax Description This is machine translation Translated by Mouse over text to see original. Click the button below to return to the English verison of the page. Back to English × Translate This Page Select Language Bulgarian Catalan Chinese Simplified Chinese Traditional Czech Danish Dutch English Estonian Finnish French https://www.mathworks.com/help/comm/ug/error-vector-magnitude-evm.html German Greek Haitian Creole Hindi Hmong Daw Hungarian Indonesian Italian Japanese Korean Latvian Lithuanian Malay Maltese Norwegian Polish Portuguese Romanian Russian Slovak Slovenian Spanish Swedish Thai Turkish Ukrainian Vietnamese Welsh MathWorks Machine Translation The automated translation of this page is provided by a general purpose third party translator tool. MathWorks does not warrant, and disclaims all liability for, the accuracy, suitability, http://www.mathworks.com/help/comm/ref/comm.evm.step.html or fitness for purpose of the translation. Translate stepSystem object: comm.EVMPackage: commMeasure error vector magnitude SyntaxRMSEVM = step(EVM,REFSYM,RXSYM)RMSEVM = step(EVM,RXSYM)[___,MAXEVM] = step(___)[___,XEVM] = step(___)[___,NUMSYM] = step(___)DescriptionNote: Starting in R2016b, instead of using the step method to perform the operation defined by the System object™, you can call the object with arguments, as if it were a function. For example, y = step(obj,x) and y = obj(x) perform equivalent operations.RMSEVM = step(EVM,REFSYM,RXSYM) returns the measured root-mean-square EVM, RMSEVM, of the received signal RXSYM, based on reference signal REFSYM. EVM values are measured as a percentage.REFSYM and RXSYM inputs are complex column vectors of equal dimensions and data type. The data type can be double, single, signed integer, or signed fixed point with power-of-two slope and zero bias. All outputs of the object are of data type double. To set the interval over which the EVM is measured, use the MeasurementIntervalSource and MeasurementInterval properties.RMSEVM = step(EVM,RXSYM) returns the measured EVM of received signal RXSYM based on a reference signal specified in the ReceivedConstellation property.[___ Search All Support Resources Support Documentation MathWorks Search MathWorks.com MathWorks Documentation Support Documentation Toggle navigation Trial Software Product Updates Documentation Home Communications https://www.mathworks.com/help/comm/ref/evmmeasurement.html System Toolbox Examples Functions and Other Reference Release Notes PDF Documentation Measurements, Visualization, and Analysis Communications System Toolbox Blocks EVM Measurement On this page Library Description Data Type Parameters Examples Measure RMS and 90th Percentile EVM Related Examples Algorithms References See Also More About This is machine translation Translated by Mouse over text to see error vector original. Click the button below to return to the English verison of the page. Back to English × Translate This Page Select Language Bulgarian Catalan Chinese Simplified Chinese Traditional Czech Danish Dutch English Estonian Finnish French German Greek Haitian Creole Hindi Hmong Daw Hungarian Indonesian Italian Japanese Korean Latvian Lithuanian Malay Maltese Norwegian Polish Portuguese Romanian error vector magnitude Russian Slovak Slovenian Spanish Swedish Thai Turkish Ukrainian Vietnamese Welsh MathWorks Machine Translation The automated translation of this page is provided by a general purpose third party translator tool. MathWorks does not warrant, and disclaims all liability for, the accuracy, suitability, or fitness for purpose of the translation. Translate EVM MeasurementMeasure error vector magnitudeexpand all in pageLibraryUtility Blocks DescriptionThe EVM Measurement block measures the error vector magnitude (EVM), which is an indication of modulator or demodulator performance. The block has one or two input signals: a received signal and, optionally, a reference signal. You must select if the block uses a reference from an input port or from a reference constellation. The block normalizes to the average reference signal power, average constellation power, or peak constellation power. For RMS EVM, maximum EVM, and X-percentile EVM, the output computations reflect the normalization method.The default EVM output is the RMS EVM in percent, with an option of maximum EVM or X-percentile EVM values. The maximum EVM represents the