This website uses cookies to implement certain functions. If you use this website you agree to our Privacy Policy.
News and Information about the Test of Electronics in Research & Design, Production, Maintenance, and Installation.  

Newsletter

Register to our newsletter
Every two weeks -
all news at a glance
captcha 

Latest Test and Measurement News

Digitizers now offer advanced FPGA-based Averaging

Spectrum AVG20 October 2022 - A new firmware option has been created by Spectrum Instrumentation that allows the company’s high-speed M5i digitizer cards to perform on-board summation averaging. Averaging is a useful tool for reducing unwanted signal noise, while at the same time improving measurement resolution, dynamic range and signal-to-noise ratio (SNR). The new option enables the M5i digitizers to perform the averaging function by utilizing advanced, on-board, Field Programmable Gate Array (FPGA) technology.

Doing this creates a unique offering. The M5i series digitizers deliver real-time sampling at rates up to 6.4 GS/s with 12-bit resolution and they can stream all the acquired data directly over the PCIe bus at a record breaking 12.8 GB/s. This outstanding capability is then further enhanced by the new firmware option, which permits acquired signals to be averaged at an astonishing rate of 15 million events per second.

 Figure 1. The M5i.33xx series digitizers include one and two channel models, with sampling rates up to 6.4 GS/s, 12-bit resolution and data streaming rates up to 12.8 GB/s over the PCIe 16 lane Gen3 interface.

“This new option for the M5i series makes for one of the most powerful averaging systems available today,” said Spectrum’s Director of Technology, Oliver Rovini. “The FPGA-based processing allows ultrafast averaging, even on complex and long waveforms. In fact, there’s enough processing power available to average waveforms that contain as many as 1 MSample per acquisition. The result is an averaging package that will be of interest to anybody working with high frequency signals or very narrow pulses that are low level or where signal details are being lost due to high amounts of noise. This includes applications such as mass spectrometry, lidar, radio astronomy, automation, radar, biomedicine, nuclear physics, communications, sonar and many more.”

Summation Averaging is a common, time-domain-based, processing technique that is used to reduce the random (uncorrelated) noise component of a signal, improving its signal-to-noise ratio (SNR), while at the same time increasing a digitizer’s measurement resolution and dynamic range.

Ideally, if the signal and noise are uncorrelated, i.e., the noise being random while the signal is repetitive, then the summation averaging function can improve the SNR in proportion to the square root of the number of measurements (or averages). For example, averaging a signal 256 times may improve the SNR by as much as 24 dB or increase measurement resolution by around 4 bits. As such, this technique can be used to improve and extend the 12-bit resolution of the M5i series digitizers.

Built-in Threshold Defined Averaging (TDA)

To further enhance the averaging capability, and allow the M5i series digitizers to detect and average rare events that might otherwise be lost in excessive background noise, the new firmware option includes a data suppression technique called Threshold Defined Averaging (TDA). TDA allows the user to set a threshold level so that only waveform samples exceeding the level contribute to the accumulated waveform. Baseline noise samples, those that fall below the set level, are then suppressed by being set to zero, or, as an alternative, to a user-defined value.

The averaging option (M5i.33xx-spavg) is available now for the M5i.33xx series of PCIe high-speed digitizers.

https://spectrum-instrumentation.com/



Related Articles:

Upcoming Events

Automotive Testing Expo Europe 2024
Stuttgart (Germany)
04 to 06 June
PCIM 2024
Nuremberg (Germany)
11 to 13 June

  More events...
  See our Trade Show Calendar
  Click here

 

Advertising
Advertising