Abstract
To address the problem of detection and tracking for the near-space weak targets under range ambiguity, an improved approach is proposed using Dynamic Programming (DP) within the track-before-detect (TBD) framework. Firstly, the target information is accumulated along the ambiguous tracks by the DP method, which can significantly improve the target SNR and realize the detection of ambiguous tracks. Secondly, all the ambiguous tracks are divided into different matching groups in according to the track information. Finally, target range is unfolded using one-dimensional set algorithm, and the real track can be realized by coordinate transform. Simulation results illustrate the effectiveness of this approach.
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Yu, H., Tan, S., Cao, Q., Zhang, X., Li, L., Guo, Q. (2020). A Dynamic Programming Based TBD Algorithm for Near Space Targets Under Range Ambiguity. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_120
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DOI: https://doi.org/10.1007/978-981-13-9409-6_120
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