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According to Yole Développement statistics, the global MEMS market reached 11.6 billion US dollars in 2018, and is expected to grow at an annual compound rate of 8.2% by 2024. The growth rate (CAGR) continues to grow. "MEMS technology is ubiquitous, and its applications have covered various fields of life such as robots, smart cities, medical equipment, condition monitoring, smart agriculture, and autonomous driving.

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MIMO architectures allow for relaxing RF power requirements on building blocks such as amplifiers and switches. However, as the number of parallel transceiver channels increases, so does the complexity and power consumption of peripheral circuits.

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Therefore, the accuracy of the navigation system in the field of autonomous driving cannot be guaranteed only by high-precision satellites. The inertial measurement unit (IMU) based on MEMS sensor technology is the last barrier to ensure autonomous driving.

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Based on its extensive experience in vehicle electrification, ADI enables systems such as battery management, powertrain and infotainment to maintain high performance by providing solutions with lower emissions, higher efficiency, higher reliability and safety. Smaller, lighter and more reliable, driving a greener and more efficient future car to the ground. The new infrastructure has solved the shortage of charging infrastructure. At the same time, stimulated by environmental protection needs and favorable policies, new energy vehicles will usher in a wave of popularization in 2020.

In this regard, Cai Zhenyu gave an example, ADI can work with customers to face the swing of power lines under strong wind, the inclination of power towers on hillsides, and the temperature monitoring of substation cabinets through solutions such as MEMS IMU and integrated temperature measurement products. The smart grid system realizes real-time monitoring and predictive maintenance, and comprehensively promotes the new infrastructure energy innovation model and ecological industry construction.

At this stage, industrial equipment is generally digitized and interconnected, and it is helping to transform production tools. Using the IIoT (Industrial Internet of Things) to monitor the health of machines helps enable predictive maintenance, allowing industry personnel to predict failures, resulting in significant savings in operating costs. . Of the physical quantities that can be measured, vibration spectrum measurements provide the most information on the root causes of problems in rotating machines and have been reliably applied to the most critical equipment in a variety of industrial applications.

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. Massive MIMO systems will continue to evolve and will require further increases in integration. ADI's new high-power silicon switching technology is well suited for multi-chip module (MCM) designs, integrating LNAs together to provide a complete, single-chip solution for TDD receiver front ends.

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