In this paper factorization filtering, fusion filtering strategy and related algorithms are presented. Some results of implementation and validation using realistic data are given.

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We have adopted the state-vector fusion technique for fusing multiple sensors track data to provide complete and precise trajectory information about the flight vehicle under test, for the purpose of flight safety monitoring and decisionmaking at Test Range. The present paper brings out the performance of the algorithm for different process noise and measurement noise using simulated as well as real track data.

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