Abstract
Aiming at the problem of data fusion deviation caused by the uncertainty of observation information in the multi-sensor data fusion algorithm, this paper proposes an array comprehensive support algorithm based on the spectrum consistency of the observation information. Starting from the probability distribution function of the array observation model, the algorithm introduces a multi-sensor consistent data fusion method. Aiming at the empirical selection of data fusion thresholds, the algorithm discusses the consistency processing method of the symmetric distance function, and comprehensively considers the multi-sensor delay estimation, A comprehensive support degree algorithm for spectrum consistency is proposed. The hardware-in-the-loop simulation test of the quaternary acoustic array verifies that the proposed algorithm not only reduces the observation noise caused by the uncertainty data fusion deviation, but also realizes the effectiveness of the estimation of the multi-sensor observation signal under the condition of unknown prior signal.
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