Noise

Reduce noise of sensor by combining two

Reduce noise of sensor by combining two
  1. How do you remove noise from sensor data?
  2. How can I reduce my IMU noise?
  3. What causes sensor noise?

How do you remove noise from sensor data?

A moving average filter is a basic technique that can be used to remove noise (random interference) from a signal. It is a simplified form of a low-pass filter. Running a signal through this filter will remove higher frequency information from the output.

How can I reduce my IMU noise?

Special filters such as complementary filter and Kalman filter are commonly used to reduce the noise in real-time. For simple applications complementary filter is fine but more complex and precise projects such as self-balancing robots and quadcopters requires the use of the Kalman filter.

What causes sensor noise?

Electromagnetic Interference (EMI) is typically the cause of noise in a signal. Corruption from EMI is common and can come from multiple sources. An electric motor, a power supply, or high-frequency communication nearby can be sources of electrical noise that can distort a sensor's signal.

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