Zero-drift amplifier features self calibrating circuitry to provide DC provision and stability

Linear Technology has introduced the LTC2057HV, a zero-drift amplifier featuring self-calibrating circuitry that provides high DC precision and stability over changes in temperature, time, input range and supply voltage. With 5µV input offset voltage, 0.025µV/°C offset drift and 220nVP-P low frequency noise with no 1/f noise, it offers more than 140dB dynamic range while operating on a 60V (±30V) supply.

This wide dynamic range enables tiny signals to be amplified in the presence of much larger signals without saturating the amplifier or losing precision. For applications requiring supply voltages up to 36V, a lower supply version of LTC2057 is available.

Specified over a -40°C to 125°C temperature range, the LTC2057 and LTC2057HV offer a combination of low voltage noise, low current noise and low input bias current, while the zero-drift architecture cancels 1/f noise. Spurious artifacts normally associated with zero-drift amplifiers are suppressed, further extending the dynamic range, stability and useful signal bandwidth. The input common-mode range includes the negative rail and the output swings rail-to-rail, making the LTC2057 suitable for single- and dual-supply industrial, instrumentation and automotive applications.

The LTC2057 is specified for 30V supply operation while the LTC2057HV can operate on supplies up to 60V. Both versions also work on 4.75V supplies and are fully specified over -40°C to 85°C and -40°C to 125°C temperature ranges. The LTC2057 is available in 3mm x 3mm DFN, MSOP-8 and SOIC-8 packages, as well as an MSOP-10 package with a pinout that enables a guard ring to be easily routed around the input to preserve the high precision and low noise performance at high source impedance.

www.linear.com

 

Check Also

Zero Carbon Solution launched with the LoRa Edge Platform and a RE Microcontroller

Semtech Corporation, a supplier of high performance analog and mixed-signal semiconductors and advanced algorithms, and …