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<record>
  <title>Kalman Filter Extension and Nonlinear Filters for Sensor Data Processing</title>
  <journal>Journal of Information Organization</journal>
  <author>Emil Iontchev, Rosen Miletiev, Petar Kapanakov and Lachezar Hristov</author>
  <volume>13</volume>
  <issue>2</issue>
  <year>2023</year>
  <doi>https://doi.org/10.6025/jio/2023/13/2/43- 52</doi>
  <url>https://www.dline.info/jio/fulltext/v13n2/jiov13n2_2.pdf</url>
  <abstract>Kalman Filter Extension is used to fix the object position in the space for which we added sensor data and developed proper algorithms. The two filters, Non-linear Kalman and Linear are employed to study. To fix the magnetometer data, the external magnetic disturbances rejection is studied for which algorithms are used. For accelerometer data, a lowpass filter is used. Both stationary and dynamic platforms are considered to measure the rotation angles of the car seats.</abstract>
</record>
