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ANG Math 2030

xDSL 30 MHZ Arbitrary Noise Generator

Sparnex’ Arbitrary Noise Generator ANG MATH 2030 is a state of the art, easily programmable and configurable noise generator designed for testing xDSL modems on their noise immunity up to 30 MHz.

Applications

Common mode, differential mode, micro interruptions, RF noise, impulse noise, combined noise models, automation features, the ANG Math 2030 can handle it all. Our solution is complete and includes all features DSL engineers may require.

The ANG Math 2030 is part of the programmable DSL Test Platform LSX 2030

Benefits

  • 7 programmable xDSL 30 mHZ noise generators with two high impedance noise injectors in a single system for simulation of noise impairments such as NEXT, FEXT, crosstalk, User Filters, Impulse Noise, RFI tones, ham radio, REIN, SHINE, Bitswap,…
     
  • all noise impairments can be independently genererated and applied simultaneously to both end of a loop
     
  • Introducing micro interruptions on both NTU and LTU side
     
  • Noise import software for customized noise models (PSD or time based)
     
  • Easy and fast integration with existing automation platforms, e.g. Agilent VEE, LabView, TCL-TK, Visual Basic, C++, etc.

Key Features

  • 2 fully independent noise generators with Next, Fext and User filters in 1 box
     
  • 7 noise inputs/combinations of sources with Next, Fext and User filters per injector
     
  • 2 programmable white noise generators
     
  • 2 programmable sinus generators
     
  • High Impedance Outputs, NTU and LTU side
     
  • Crest factor of any combination of noise CF>5 (programmable)
     
  • Low noise floor better than –140 dBm/Hz
     
  • Noise import function (PSD or time based)
     
  • User-friendly WIN NT/2000 Graphical User Interface
     
  • Comes with standard noise libraries ITU | ANSI | ETSI | DSL Forum
     
  • All features in one unit. (Noise generator and noise injector)
     
  • Scripts for automation of standards.

Ask for more information : contact us at sales@sparnex.com

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