ROSEMONT, Ill., June 5, 2013 (GLOBE NEWSWIRE) -- MEMSIC Inc. (Nasdaq:MEMS), a leading sensor solution provider, announced today at Sensors Expo (Booth #417) the availability of its MMC246xMT Two-Axis Magnetic Sensor. This fully integrated high performance part is provided in a miniature 2.0 mm. x 2.0 mm. x 1.0 mm. Land Grid Array (LGA) package and is capable of operating from a single 1.8 V supply. It offers the industry's best performance at the lowest power consumption for a two-axis magnetic sensor, making it ideal for portable applications. Applications include electronic compassing, in-vehicle GPS assist, GPS wristwatches and industrial field measurements including traffic control and parking management.
The MEMSIC MMC246xMT Two-Axis Magnetic Sensor uses MEMSIC's proprietary anisotropic magnetic resistive (AMR) technology to achieve its high performance. Operating over the range of +/- 6 Gauss full scale, its fully integrated design provides all of the necessary circuit functions to facilitate its design into systems while saving space, reducing cost and increasing reliability over other solutions that require external circuit elements.
It exhibits superior performance in critical electrical design parameters including dynamic range, accuracy over temperature and power consumption. Its low noise of 0.8 mG total RMS and resolution of 0.25 mG per least significant bit (LSB) result in a more accurate heading determination with less averaging in addition to having a < +/- 2 mG bias error over the -40 to + 85 degree Centigrade temperature range. The low operating current of 20 uA (in 14- bit mode) and 50 uA (in 16 -bit mode) along with its < 20 nA current in the power down mode make it the most energy efficient two-axis magnetic sensor commercially available today, extending battery life to accommodate the stringent power budgets demanded in portable applications. The on-demand SET/RESET functions allow the end user the ability to eliminate bias drift over temperature and the flexibility of choosing how the feature can be used to maximize performance and minimize power consumption in their specific application.
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