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- W765342336 abstract "Tracking of dim objects needs specially designed systems. Conventional tracking systems are based on the detection and tracking scheme. The detection algorithm is based on the threshold algorithm. Detection is not possible if the signal is below noise floor because multiple false detections are possible. Another problem is that threshold level should be set at appropriate level. The adaptive threshold techniques do not supports low SNR objects also. Alternative approach, based on Track-Before-Detect (TBD) scheme, is the onlyone solution for tracking of such objects. TBD algorithms test all possible trajectories and accumulate signal values over every trajectory (it is the tracking phase). Accumulated values are tested using the threshold value and the detection occur if the accumulated signal strength is higher then the threshold level (it is the detection phase). TBD systems are computationally demanding because all trajectories are tested even if no-one object is in the range. Multiple objects tracking ability is the advantage of the TBD algorithms." @default.
- W765342336 created "2016-06-24" @default.
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- W765342336 date "2011-01-01" @default.
- W765342336 modified "2023-09-23" @default.
- W765342336 title "Analysis of noise suppression techniques for Track-Before-Detect algorithms using spatial noise estimators" @default.
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