PGA5807ARGCR Allicdata Electronics
Allicdata Part #:

PGA5807ARGCR-ND

Manufacturer Part#:

PGA5807ARGCR

Price: $ 17.54
Product Category:

Integrated Circuits (ICs)

Manufacturer: Texas Instruments
Short Description: 8-CHANNEL HIGH-BANDWIDTH
More Detail: 8 Channel AFE Bit 60mW 64-VQFN (9x9)
DataSheet: PGA5807ARGCR datasheetPGA5807ARGCR Datasheet/PDF
Quantity: 1000
2000 +: $ 15.93900
Stock 1000Can Ship Immediately
$ 17.54
Specifications
Series: --
Packaging: Tape & Reel (TR) 
Part Status: Active
Number of Bits: --
Number of Channels: 8
Power (Watts): 60mW
Voltage - Supply, Analog: 3.15 V ~ 3.6 V
Voltage - Supply, Digital: --
Package / Case: 64-VFQFN Exposed Pad
Supplier Device Package: 64-VQFN (9x9)
Description

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The PGA5807ARGCR belongs to the Analog Front End (AFE) field of Data Acquisition. It is an ultra-low confusion gain pre-amplifier designed for use in medical imaging applications such as ultrasound, digital X-ray and computed tomography (CT). This particular device is a low-noise version of the PGA5807 family of parts which have been designed to have an exceptionally low noise floor and other features that make them suitable for these applications.

The PGA5807ARGCR has an adjustable gain range of 0 dB to 38 dB, with a precision of 0.5 dB. This range of gains allows the device to be used in a variety of different imaging applications, such as those mentioned above, where precise adjustment of the imaging signal is required. As well as this, the device also boasts an exceptionally low noise floor of 1.2 μV which makes it suitable for use in high-fidelity medical imaging applications.

The PGA5807ARGCR has a common-mode rejection ratio (CMRR) of 92 dB. This ensures that any common-mode noise which is present in the signal is suppressed, which is especially important in applications such as digital X-ray or CT which require high levels of accuracy and precision in the imaging signal. The PGA5807ARGCR is also able to provide a wide bandwidth of 300 kHz and a fast settling time of 80 ns. This ensures that a wide range of frequencies can be accurately captured and processed by the device.

The PGA5807ARGCR also features a low-power design which is optimised for use in portable medical imaging applications. The device has a typical power consumption of just 1000 μA, making it suitable for use in mobile or battery operated systems. In addition to this, the device also features a high input dynamic range of up to 17.4 dB, allowing it to accurately capture a wide range of signals.

The PGA5807ARGCR has been designed with a high level of integration, meaning that its external components are minimal. This makes it easy to integrate the device into existing circuit designs and also improves the overall performance. This coupled with the low power consumption of the device makes it ideal for use in portable or battery operated systems.

The working principle of the PGA5807ARGCR is quite simple, but still involves a number of complex processes. Firstly, when a signal is present the device’s input amplifier stage amplifies the signal and converts it into a voltage difference. This voltage difference is then amplified by the gain amplifier stage to the desired level, before finally being outputted. This is a continuous process and is repeated each time a signal is received.

In summary, the PGA5807ARGCR is an ultra-low noise gain pre-amplifier designed for use in medical imaging applications. It is an ideal choice for applications that require precise adjustment of an imaging signal, as it has an adjustable gain range of 0 dB to 38 dB with a precision of 0.5 dB. Additionally, the device features an exceptionally low noise floor of 1.2 μV and has a typical power consumption of just 1000 μA. This makes it suitable for use in portable or battery operated systems. Finally, the working principle of the device involves a number of complex processes which ensure that any common-mode noise is suppressed and a wide range of frequencies are accurately captured and processed.

The specific data is subject to PDF, and the above content is for reference

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