采用动态规划的机动目标检测前跟踪算法

doi:10.3969/j.issn.1001-2400.2017.05.007

Abstract

Abstract:

The maneuverability coverage of the traditional dynamic programming track-before-detect (DP-TBD) algorithm is limited to the range of the default valid state transitions. To overcome the above limitation, a novel DP-TBD algorithm suitable for maneuvering targets is proposed. By means of state transitions optimizing, the efficiency of the status searching for the maneuvering target is improved, and the searching range is extended. Through transfer speed weighting, the energy accumulation can be carried out according to the target motion tendency. Without altering the input parameters, the proposed method can detect targets with both strong and weak maneuverability. The performance of the proposed algorithm and that of the traditional method are compared through simulation experiments. The applicability of the algorithm is verified by real measured data.

Key words: track-before-detect (TBD), dynamic programming (DP), maneuvering target, weighting matrix

CHEN Shuailin;LUO Feng;ZHANG Linrang;HU Chong;CHEN Shichao. Maneuvering target track-before-detect method using dynamic programming[J].Journal of Xidian University, 2017, 44(5): 39-45.

References

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Maneuvering target track-before-detect method using dynamic programming

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