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Tektronix PSM4000 Series

The PSM4000 Series delivers average power (CW) measurements, and adds pulse and peak power measurements for gathering basic data on pulsed RF and microwave signals.




Features & Benefits


Key Performance Specifications


  • 8 GHz, 18 GHz, 20 GHz, and 26.5 GHz Models

  • Models Available with N and 3.5 mm Connectors

  • Dynamic Range as Low as –60 dBm and as High as +20 dBm

  • Uncertainty as Low as 2.6%

  • Reading Rates up to 2000 Readings/s


Features


  • Meters are Calibrated over Full Temperature Range – No zero or cal needed before making measurements, saving time and avoiding poor-quality data

  • Average Power, Duty Cycle Corrected Pulse Power, and Measurement Logging on All Models

  • Included Applications run under Microsoft Windows

    • Power Meter Application

    • High-speed Logging Application

    • LabVIEW Drivers and Programming Examples for Most Common Windows Programming Environments are Available for Automated System Support



  • Max Hold and Relative Measurement Modes

  • Offset, Frequency Response, and 75 Ω Minimum Loss Pad Correction

  • Flexible Averaging Modes for Quick, Stable Measurements

  • TTL Trigger Input and Output allow Synchronization with External Instruments

  • Pass/Fail Limit Mode

  • Compact Size

  • The PSM3000 Series offers True Average Power Measurements that Give Accurate Results Regardless of Signal Shape or Modulation

  • The PSM4000 and PSM5000 Series offer:

    • Pulse Power, Duty Cycle, Peak Power, and Crest Factor Measurements

    • Measure Peak, Average and Minimum Power on Bursts with Adjustable Offset and Duration


  • The PSM5000 Series includes a Pulse Profiling Application for Making Measurements on Repetitive, Pulsed Signals

    • Builds and Displays a Trace of the Pulse Envelope

    • Full-trace and Gated Measurements including Pulse, Peak and Average Power, Overshoot, Crest Factor, Rise and Fall Time, Pulse Width, Pulse Repetition Frequency, Duty Cycle

    • Statistical Measurements on the Trace Data, such as Complementary Cumulative Distribution Function (CCDF), and Probability Density Function (PDF)





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