基于点集合并的修正Hough变换TBD算法

doi:10.7527/S1000-6893.2016.0068

Abstract

Abstract:

On the condition of low SNR, track-before-detect (TBD) based on Hough transform (HT) has been proposed as a means for target detection in strong clutter environment. For the problem of too many possible tracks from one target and clutter points mix in the target track after Hough transform, a modified Hough transform track-before-detect algorithm based on the maximum energy point and point set merging is proposed in this paper. The algorithm can be used to effectively realize point matching, point eliminates and track initiation by using the prior information of target velocity, and temporal and energy information of the points. The simulation results show that the weak target under the background of Gaussian noise can be effectively detected according to the algorithm proposed, and the target detection probability is still high when the target number, clutter density and SNR change.

Key words: track-before-detect, Hough transform, threshold, echo sequence, echo energy

CLC Number:

V243.2
TN957

WANG Guohong, LI Lin, YU Hongbo. A modified Hough transform TBD algorithm based on point set merging[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2017, 38(1): 320009-320009.

References

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A modified Hough transform TBD algorithm based on point set merging

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