WAVELET DE-NOISING FOR AUTONOMOUS LATITUDE DETERMINATION

Autonomous determination of the latitude place movable and immovable objects is used as an independent task, well task initial value for operation both platform platform-free navigation systems. To solve these problems, it necessary to have inertial measurement unit (IMU) with at least three gyroscopes accelerometers. When using IMU, executed by MEMS technology, output signals micromechanical gyroscope accelerometers significant noise components. Kalman filter usually such signals. However, this purpose know, besides exact mathematical model sensitive elements, many their random characteristics.
 In article, research was conducted in order investigate use wavelet transformation filtering autonomous place. The peculiarity transform noisy that due changing scale, wavelets can detect differences process characteristics on different scales, help shift we analyze properties points whole investigated interval. Due system's fullness possible restore means inverse transform. efficiency developed method increasing accuracy IMU basis has been experimentally confirmed. projections angular velocity Earth rotation gravitational acceleration were obtained from made technology. After that, measuring filtered, ‘Daubechies 10’ decomposition, averaged. These a computational algorithm determine latitude. results showed unlike well-known filter, which almost did not increase calculation, denoising further averaging reduced calculation error twice.