Suppression of impulse noise in Track-Before-Detect Algorithms
نویسنده
چکیده
Influence of the impulse noise in recurrent Track-Before-Detect Algorithms is considered in this paper. Impulse noise from the object should improve tracking performance but it is not true. This is the SNR paradox that could be explained using Markov matrix theorem. Suppression of the signal value using threshold techniques improves output SNR. Description of this effect is detailed shown in the paper using illustrative examples. Obtained results could be applied for numerous applications of TBD systems.
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