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Selecting High Linearity MMIC Amplifiers for use with Complex Digital Waveforms

Ted Heil, Mini-Circuits and Steve Crain, Keysight Technologies

Selecting High Linearity MMIC Amplifiers for use with Complex Digital Waveforms
Mini-Circuits GaAs E-PHEMT amplifiers provide both low noise and excellent suppression of intermodulation distortion.


Enhanced Mode GaAs PHEMT (E-PHEMT) based MMIC amplifiers provide users advantages in both broadband noise figure and intermodulation performance, setting them apart from previous generations of GaAs amplifier designs.  Historically known for their extremely low noise figure, PHEMTs have also been used extensively for power applications in the mobile PA market.  Recent designs possess a combination of low noise and excellent suppression of intermodulation distortion, which improves both ends of the dynamic range over broad frequency range.

Mini-Circuits lineup of low-noise, high-dynamic-range, MMIC amplifiers includes over 30 unique models in the PSA, PMA and PHA families.  These are broadband, single stage, Class A, 50Ω MMIC amplifiers.  All offer outstanding noise figure and intermodulation performance.  The most recent additions to the PMA family are distinguished through their low noise performance over multi-octave bandwidths and high IP3 performance with low DC power consumption.  Table 1 shows key performance parameters for selected models in these amplifier families.

Selecting High Linearity MMIC Amplifiers for use with Complex Digital Waveforms
Table 1: MMIC amplifier performance summary

Characterizing Amplifiers for Complex Waveforms

Historically, amplifiers were characterized using CW signals to take relatively simple measurements, such as intercept point and compression (AM to AM and AM to PM).  While these measurements remain quite useful, the wireless industry discovered that amplifiers behave differently when stimulated with complex signals that have higher peak to average ratios than an unmodulated CW signal.  As a result, it is desirable for the characterization of wireless amplifiers to include measurements made with “real-world” complex waveforms.  The most common measurements are Adjacent Channel Power Ratio (ACPR) and Modulation Accuracy.

Accurate ACPR measurements can be challenging when using older spectrum analyzers.  Features have been added to modern spectrum analyzers to make measurements easier and more accurate.  RMS averaging is used to eliminate errors that occur when averaging on a log scale.  An average detector is also used because it accurately measures complex waveforms with noise-like characteristics.  In addition to having these core features, modern analyzers also offer one-button measurement capability for easy and repeatable standard-compliant measurements.

Modulation Accuracy measurements have also become valuable during amplifier characterization because they represent a summation of all impairments on the signal.  The most common Modulation Accuracy measurement is referred to as Error Vector Magnitude (EVM), a quantitative figure of merit that represents the quality of digitally modulated signals.  Different applications may use different terms, such as Relative Constellation Error (RCE) in WiMAX or Modulation Error Ratio (MER) in Cable TV applications, but the fundamental measurement is essentially the same – the difference between the measured signal and an ideal reference signal.

In making these measurements, the analyzer creates a reference signal by demodulating the measured signal and recovering the intended symbols.  It then mathematically re-modulates the signal to create an ideal reference.  EVM is the resulting vector between the two, representing both the amplitude and phase errors.  Typically it is expressed as a percentage of the peak ideal signal.  For signals such as CDMA, OFDM or QAM, the measured signal is represented in an I/Q polar graph or constellation diagram, as in figure 1, and the EVM is a calculated value.

Complex digital waveform characterization is often performed in accordance with an industry standard test model, which defines the center frequency, channel bandwidth, number of carriers, number of active channels and a number of other parameters that detail the digital signal structure.  From the perspective of the amplifier, these parameters manifest themselves in a power distribution.  The Complementary Cumulative Distribution Function (CCDF) defines the statistics of a test signal and specifies the signal’s probability of exceeding a specific power threshold.

Selecting High Linearity MMIC Amplifiers for use with Complex Digital Waveforms
Figure 1: IQ polar plot.


Digital waveforms are configured using Keysight’s Signal Studio™ software suite and generated using the Keysight N5182A MXG Vector Signal Generator.  Both spectrum and modulation accuracy measurements are made using the N9020A MXA Vector Signal Analyzer, which provides a variety of different measurements; however, as previously described, the most commonly used test parameters are ACPR and EVM.

A summary of performance over a range of output powers is the ideal means of comparison and model selection.  These measurements were automated using the same equipment to sweep input power.  However, since each amplifier has different gain, the measurements are all referenced to the power at the output of the device.  Performance relative to commonly used LTE and DOCSIS signals are shown in Figure 2 and Figure 3.

Selecting High Linearity MMIC Amplifiers for use with Complex Digital Waveforms
Figure 2: LTE – FDD, 700 MHz, 1 Carrier, 10 MHz.
Selecting High Linearity MMIC Amplifiers for use with Complex Digital Waveforms
Figure 3: DOCSIS – 64 QAM_1C, 500 MHz.


All E-PHEMT MMIC Amplifiers are readily characterized using waveforms generated by off-the-shelf equipment.  This capability is easily extended to many digital modulation schemes such as WCDMA, CDMA-2000, WiMAX, EDGE, DVB-T and more.  In both the case of spectral regrowth and modulation accuracy, there is an observable difference between the PSA, PMA and PHA series.  This is to be expected based upon the 1 dB compression and intercept point data for the various models.  However, it is impossible to directly correlate either compression or two-tone intermodulation performance to spectral regrowth or modulation accuracy.  Therefore, when making use of high-dynamic-range amplifiers within digital communication systems using complex, high peak-to-average ratio signals, the proper means to determine the contribution to system error and spectral degradation, and to select the proper amplifier, is direct measurement using waveforms and measurement systems similar to the one described in this article.


This article first appeared in the February, 2010 issue of High Frequency Electronics.  Minor revisions have been made to update content for this publication.


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