Precision Filters, Inc. (PFI) is excited to announce the release of a new article explaining how noise specifications are generated for PFI signal conditioners, and how those specifications can be used to estimate the signal-to-noise ratio of a measurement.
While the excitation, amplification, and filtering provided by analog signal conditioners can improve the overall signal-to-noise ratio (SNR) of low-level sensor measurements, the components that make up the conditioner introduce additional noise to the measurement circuit. Though generally small compared to external and sensor noise, the signal conditioner's "self-noise" should be properly characterized and specified. In a new article, PFI explains how noise in an electrical circuit is modeled and analyzed. Concepts discussed include noise level quantification, combination of independent noise sources, spectral noise density, and noise-equivalent bandwidth. The simplified model used by PFI to establish signal conditioner self-noise specifications is introduced, along with an example of applying those specifications to SNR estimation for a typical sensor measurement. For a concise but comprehensive overview of noise analysis in the context of sensor measurement circuits, download the article today from PFI's technical library.
From the laboratory to the test cell, Precision Filters' programmable signal conditioning line-up has you covered. Measure strain, RTDs, thermocouples, IEPE sensors, or any bridge-type transducer including pressure sensors, piezoresistive accelerometers, load cells, and more. Choose from the high-density modular 28000 system, the convenient 16-channel PF-1U and SCB rack-mount systems, or the compact PFA-2 two-channel desktop unit. We even offer programmable conditioners for NI's™ popular cDAQ™ and cRIO™ format.