LPS22HB

The LPS22HB provides altitude resolution of approximately 0.5-1 meter under ideal conditions. With 0.01 hPa pressure resolution and the standard atmospheric model (1 hPa ≈ 8.43m at sea level), the theoretical resolution is about 8cm. However, real-world factors including atmospheric variations, temperature effects, and noise limit practical resolution to 0.5-1m. The absolute accuracy of ±0.1 hPa corresponds to approximately ±0.8m altitude accuracy. For best results, implement Kalman filtering and combine with GPS or other sensors for drift correction in long-term altitude tracking.

Sufficient for drone altitude hold and indoor floor detection. Combine with other sensors for navigation-grade accuracy.

The LPS22HB includes embedded temperature compensation that automatically corrects for temperature effects on pressure readings. The sensor outputs both pressure and temperature data, with the internal compensation algorithm using temperature to adjust pressure readings. The temperature coefficient is calibrated during manufacturing. Over the operating range (-40°C to +85°C), the compensated pressure drift is minimal. For extreme accuracy applications, you can implement additional external compensation using the provided temperature data, though this is rarely necessary for most applications.

Embedded compensation handles most applications. No external compensation needed for typical use cases.

The LPS22HB offers two primary operating modes: Low-current mode consumes 12uA at 1Hz ODR, suitable for battery-powered applications requiring periodic readings; High-resolution mode consumes 32uA at 25Hz ODR, providing lower noise for high-speed applications. Power-down mode consumes less than 1uA while maintaining register settings. The ODR can be configured from 1Hz to 75Hz, with power consumption scaling approximately linearly with frequency. The FIFO enables batch reading, allowing the host MCU to sleep longer between readings.

Use low-current mode for battery-powered applications. Use high-resolution mode for fastest response requirements.

Altitude is calculated using the barometric formula: h = 44330 × (1 - (P/P0)^(1/5.255)), where P is measured pressure and P0 is sea level reference pressure (1013.25 hPa standard). For relative altitude changes, the formula provides good accuracy. For absolute altitude, you need to know the local sea level pressure or calibrate at a known altitude. The LPS22HB outputs pressure in 24-bit format (hPa × 4096) which should be divided by 4096 to get hPa. ST provides software libraries with altitude calculation functions.

Use standard barometric formula for relative altitude. Calibrate against known reference for absolute altitude accuracy.

The LPS22HB includes a 32-slot FIFO that stores pressure and temperature readings with timestamps. The FIFO supports multiple modes: Bypass (FIFO disabled), FIFO mode (stops when full), Stream mode (overwrites oldest), and Stream-to-FIFO (switches to FIFO mode on trigger). The FIFO enables efficient data logging by allowing the host MCU to read multiple samples in a single transaction. For example, at 1Hz ODR with 32-slot FIFO, the MCU can sleep for 32 seconds and then read all data at once. Watermark and overrun interrupts notify the host when data is ready.

Use FIFO with watermark interrupt to maximize host MCU sleep time in logging applications.

The LPS22HB is excellent for weather monitoring and short-term trend analysis. The ±0.1 hPa absolute accuracy enables detection of pressure changes associated with weather patterns. Typical weather systems produce pressure changes of 1-10 hPa over hours to days, well within the sensor's measurement capability. For weather forecasting, track pressure trends over time: Falling pressure often indicates approaching storms; Rising pressure suggests improving conditions. The 24-bit resolution enables detection of minute pressure changes. Combine with temperature and humidity sensors for complete weather station functionality.

Excellent for personal weather stations and trend monitoring. Not suitable for professional meteorological applications.