PERFORMANCE OF MULTI-SENSOR FUSION ALGORITHMS OF RELATIVE DISTANCE ESTIMATIONS WITH MISSING MEASUREMENTS

Performance of 2-sensor fusion algorithms of relative distance estimation with missing measurements is presented. Kalman filters results for two types of missing measurements are given in the article.

Authors: Y. A. Melekhov, V. K. Orlov

Direction: Radioelectronics and Telecommunications

Keywords: Linear system, multi-sensor, estimation with missing estimation, cross-covariance, discrete Kalman filter

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