Electronics Optics & Control, Volume. 20, Issue 7, 28(2013)
A TBD Algorithm for Maneuvering Stealthy Target Based on Auxiliary Particle Filtering
To solve the problem of maneuvering target detecting and tracking in a low SNR environmenta Track Before Detect (TBD) algorithm combining the auxiliary particle filtering with multiplemodel particle filtering (APFMMPF) was studied.Predict particles in the multiplemodel particle filtering processwhich contained target existence and moving mode variableswere directly used to produce auxiliary variable for conducting auxiliary particle filtering and realizing the detection and tracking of maneuvering target.It could be seen from the simulation result of APFMMPF algorithm and pure MMPF algorithm that: with higher detection probability and smaller tracking errorthe detecting and tracking performance of APFMMPF algorithm was superior to that of MMPF algorithm.Due to the usage of current measurements in the process of sampling particlesthe APFMMPF algorithm can improve the performance of detecting and tracking the maneuvering target.
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SUN Yun, WANG Guohong, TAN Shuncheng, YU Hongbo. A TBD Algorithm for Maneuvering Stealthy Target Based on Auxiliary Particle Filtering[J]. Electronics Optics & Control, 2013, 20(7): 28
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Received: Apr. 12, 2012
Accepted: --
Published Online: Jul. 9, 2013
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