Agilent Technologies Agile or Elusive Signals Using Manual do Utilizador

© 2013 Agilent Technologies Analyze Agile or Elusive Signals Using Real-Time Measurement and Triggering Ben Zarlingo, Agilent Technologies Inc.

© 2013 Agilent Technologies 10 © 2013 Agilent Technologies Real Time Operation In Real Time Operation the Analyzer’s Processing (CALC) is Fast

© 2013 Agilent Technologies 11 © 2013 Agilent Technologies If Processing is Faster than Sampling, Perform Additional FFTs With Partially-New Tim

© 2013 Agilent Technologies 12 © 2013 Agilent Technologies Probability of Intercept (POI) Treated Informally Here • Finding signals important to

© 2013 Agilent Technologies 13 © 2013 Agilent Technologies Frequency Mask Trigger (FMT) Trigger Based on In-Band Power (scalar) Spectrum Spect

© 2013 Agilent Technologies 14 © 2013 Agilent Technologies Vector Signal Analysis: The Logical Extension and Complement to a Real Time Analyzer

© 2013 Agilent Technologies 15 © 2013 Agilent Technologies VSA Spectrum of ISM Band Signals: 1 kpoint vs. 100 kpoints Much More Informative H

© 2013 Agilent Technologies 16 © 2013 Agilent Technologies Improving POI with FFT Analyzers: Several Steps for Dramatic Improvement Use Much Lon

© 2013 Agilent Technologies 17 © 2013 Agilent Technologies Triggering in VSAs and Real Time Analyzers IF Magnitude & Frequency Mask Trigger

© 2013 Agilent Technologies 18 © 2013 Agilent Technologies Flexible Triggering to Initiate Capture IF Magnitude Trigger Frequency Mask Trigger P

© 2013 Agilent Technologies 19 © 2013 Agilent Technologies VSA Attributes for Detailed, Flexible Analysis The Next Steps After Finding a Signal

© 2013 Agilent Technologies 2 © 2013 Agilent Technologies This Webcast Agile & Elusive Signals Discovering Signals vs. Troubleshooting, O

© 2013 Agilent Technologies 20 © 2013 Agilent Technologies Agilent 89600B VSA Signal Capture: Just Press the Red Button Us

© 2013 Agilent Technologies 21 © 2013 Agilent Technologies Control Playback Speed with Overlap How Time Records Step Through Capture Memory High

© 2013 Agilent Technologies 22 © 2013 Agilent Technologies Gap-Free, Overlapped Spectrogram: Analysis of Amplitude, Frequency, Time, See Everyth

© 2013 Agilent Technologies 23 © 2013 Agilent Technologies Example ISM Band Capture WLAN, Bluetooth, Microwave Ovens 16.7 ms

© 2013 Agilent Technologies Focus on a Time and Frequency Region Play back until signal appears Click/drag analysis region, position Marker  CF, r

© 2013 Agilent Technologies Span, Center Freq Change to Analyze, Demodulate 2.5 MHz span, Bluetooth® demod preset, short result length

© 2013 Agilent Technologies 26 © 2013 Agilent Technologies Use Start/Stop Times to Train Adaptive EQ Simple Gated Spectrum Measurement or Train

© 2013 Agilent Technologies 27 © 2013 Agilent Technologies Save a Time/Frequency Portion of Capture Use Capture, Triggering to find What You Wan

© 2013 Agilent Technologies 28 © 2013 Agilent Technologies Pass Captured Data to Other Tools, Processes Captured Data can be Fully Time and Freq

© 2013 Agilent Technologies 29 © 2013 Agilent Technologies Case Study #2: S-Band Acquisition Radar Raster Scanning Pulse Width 6 μs PRI 600 μs

© 2013 Agilent Technologies 3 © 2013 Agilent Technologies Case Study #1: 2.45 GHz ISM Band 100 MHz Wide Spread Spectrum Techniques Lightly Regu

© 2013 Agilent Technologies Fast, Clear Signal View Blue Indicates Very Low Duty Cycle Amplitude Varies over Seconds Set Persistence Long Peaks Con

© 2013 Agilent Technologies 31 © 2013 Agilent Technologies S-Band Acquisition Radar Spectrum Analyzer View Peak Hold Many Measurements Required

© 2013 Agilent Technologies 32 © 2013 Agilent Technologies S-Band Acquisition Radar Real-Time Spectrogram View Long Acquisition Time, Long Persi

© 2013 Agilent Technologies 33 © 2013 Agilent Technologies S-Band Acquisition Radar Spectrogram with Short Acquisition Time Short-Term Signal Vi

© 2013 Agilent Technologies 34 © 2013 Agilent Technologies Vector Signal Analysis Same Setup, Then Capture & Post-Processing Overlap Frequen

© 2013 Agilent Technologies 35 © 2013 Agilent Technologies Vector Signal Analysis Gap-Free Post-Processing Reveals an Anomaly Defects Hidden in

© 2013 Agilent Technologies 36 © 2013 Agilent Technologies VSA Post-Capture Tune/Zoom Digital Resampling, Digital Local Oscillator Focus on Sign

© 2013 Agilent Technologies 37 © 2013 Agilent Technologies Start With Problem/Need, Choose Best Tool Swept Spectrum Analyzer (especially with di

© 2013 Agilent Technologies 38 © 2013 Agilent Technologies Triggering: Find & Capture Signal of Interest Powerful Measurement Leverage Easy

© 2012 Agilent Technologies IF Magnitude Real time calculation of magnitude in selected span Precise, repeatable time alignment Negative & posi

© 2013 Agilent Technologies 4 © 2013 Agilent Technologies ISM Band View: Swept Spectrum Analysis Band: 100 MHz Span: 160 MHz Dynamics X2 (swe

© 2013 Agilent Technologies 40 © 2013 Agilent Technologies More Information 2013 IMS MicroAppp presentation: “Understanding Probability of Inte

© 2013 Agilent Technologies 5 © 2013 Agilent Technologies ISM Band View: Real Time Analyzer Density or Histogram Display Gap-Free Analysis No

© 2013 Agilent Technologies 6 © 2013 Agilent Technologies ISM Band View: Real Time Analyzer Spectrogram Display Top Trace is Latest or Selecte

© 2013 Agilent Technologies 7 © 2013 Agilent Technologies Spectrogram Display Adjusting Acquisition Time Shorter Acquisition Time Determines Amo

© 2013 Agilent Technologies 8 © 2013 Agilent Technologies Characteristics of the Real Time Analyzer Density View Fast Display Updates, High Data

© 2013 Agilent Technologies 9 © 2013 Agilent Technologies What is “Real Time” Analysis? Understanding Real Time Analyzers and Real Time Analysis