Intersil Introduces New High Reliability Temperature Sensor For Space Systems

New ISL71590SEH Requires Only 1.5mW (25° C) Power, Provides +/-1.7° C Accuracy and -1° C Shift Over Low Dose Rate Radiation
ISL71590SEH

MILPITAS, Calif., Nov. 6, 2013 (GLOBE NEWSWIRE) -- Intersil Corporation (Nasdaq:ISIL), a leading provider of innovative power management and precision analog solutions, today introduced the ISL71590SEH, a radiation-hardened, low power, current output temperature sensor able to deliver a high level of accuracy over radiation exposure, time and temperature. The new ISL71590SEH temperature sensor is ideal for remote temperature sensing in satellites and other space applications.

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Developers of the most advanced next generation satellite systems require temperature sensors that provide accuracy over the mission life of a satellite, eliminating the need for expensive radiation lot acceptance testing or spot shielding. With the ISL71590SEH's +/-1.7°C accuracy over temperature and at most -1°C change in accuracy over low dose rate radiation, the device is able to serve satellite temperature sensing functions that support most of a system's telemetry data and calibration accuracy. The ISL71590SEH provides highly accurate, reliable temperature sensing and linearity over the full military temperature range of -55°C to 125°C, as well as over 50krad (Si) low dose rate and 300krad (Si) high dose rate irradiation.

The ISL71590SEH temperature sensor features a high impedance current output that allows the part to be insensitive to voltage drops across long wires. With a voltage between 4V and 33V on the input pin, the ISL71590SEH acts as a temperature sensitive current source with a scale factor of 1uA/K (i.e. 1uA/°C) . It operates in the full temperature range without the need of additional circuitry, to produce results with +/-1.7°C accuracy.

The ISL71590SEH also offers power advantages, with requirements as low as 1.5mW (5V supply at 25°C). This allows it to be used in satellite signal chains and in applications such as temperature compensation networks, flow rate analysis, and biasing proportional to temperature.

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