Low-Power Pointing Method Using Tilt-Compensated Sensor Fusion

The patent extracts and removes the complex Kalman filter component from the sensor-fusion algorithm, retaining only the essential accelerometer-based tilt compensation functionality. This extraction eliminates the computationally intensive parts while preserving the core tilt compensation capability, thereby reducing power consumption while maintaining reliability.

The patent adopts a simpler, less computationally expensive algorithm that consumes less power, accepting that it may need to be recalibrated or reset more frequently. This trade-off replaces the complex but power-intensive Kalman filter with a lighter alternative that achieves the same functional goal with lower energy expenditure.

The patent removes the complex Kalman filter and associated dedicated sensor-fusion algorithms, extracting only the essential tilt compensation functionality from accelerometers. This simplification reduces algorithm complexity and device complexity while maintaining the core tilt compensation capability.

Instead of using complex algorithms to process gyroscope data for tilt compensation, the patent inverts the approach by using simple accelerometer data directly for tilt compensation. This inversion simplifies the algorithm while achieving the same functional outcome.

The patent merges accelerometer data with gyroscope-based pointing calculations in a simplified manner. Instead of using complex sensor fusion, it combines the tilt compensation from accelerometers with the rotational data from gyroscopes, achieving both low power consumption and tilt compensation functionality.

The patent introduces a simple intermediary processing stage that takes accelerometer tilt information and applies it as a correction to gyroscope-based pointing calculations. This intermediary approach enables tilt compensation without requiring complex sensor-fusion algorithms, maintaining low power consumption while improving reliability.