In many cases, performing self- calibration at the beginning of each wake cycle is unnecessary and simply wastes power. Instead, developers can store values from an initial calibration cycle in non- volatile memory and use those values to perform measurements reliably during later waking periods. For production code development, engineers can download the full software distribution package which provides sample application
source code along with the Acconeer SDK. The SDK includes header files along with precompiled RSS libraries for Arm Cortex-M4 and Arm Cortex-M7 microcontrollers in separate microcontroller-specific distributions. The SDK’s C-language code samples illustrate the basic design pattern for using the RSS API to perform radar measurements in production applications. For any type of
types of preprocessed data from the A111. These services include: ■ Envelope service which provides information about the amplitude of sensor data ■ Power Bin service which provides amplitude information in predefined range intervals (bins) ■ IQ service which provides IQ modulated data, allowing use phase and amplitude measurements to generate more accurate measurements than possible with amplitude only Envelope and Power Bin services Within these services, developers can take advantage of special features for power management, range enhancement, and self- calibration, among others. For power management, developers can place the device in one of four power modes that reduce power consumption by reducing the sensor update rate. The range enhancement feature allows developers to perform long sweeps that extend the measurement range up to 7 meters (m) under some conditions. Finally, the self-calibration feature allows developers to reduce power consumption associated with the calibration cycle that occurs whenever the device starts up. In battery-powered designs for the IoT, for example, devices may routinely be put in sleep mode or even turned off during extended periods of inactivity.
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