A novel parameter estimation and integration framework for range ambiguous space high-speed maneuvering target

Xingyuan Xu; Zhiwei Yang; Xianghai Li; Haoran Yu; Yongfei Mao; Di Jiang

doi:10.1117/12.3012289

21 December 2023 A novel parameter estimation and integration framework for range ambiguous space high-speed maneuvering target

Xingyuan Xu, Zhiwei Yang, Xianghai Li, Haoran Yu, Yongfei Mao, Di Jiang

Author Affiliations +

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 1297007 (2023) https://doi.org/10.1117/12.3012289
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

For the long-range and high-speed maneuvering space target detection, its performance is constrained by two challenges, the coherent integration loss due to Range migration and Doppler frequency spread, the contradiction between Range Ambiguity, and Doppler bandwidth ambiguity. This paper proposed a novel parameter estimation and integration method to solve the above two issues. Firstly, the waveform diversity technique is used to solve the range ambiguity problem. Then a matched filter bank for high-speed targets that can calculate the range ambiguity number is designed. Next, coherent integration is successfully achieved by estimating the target motion parameters and compensating for the echo signal. Finally, a two-step search strategy is proposed to improve the parameter estimation process, numerical experiments have validated that the complexity of the algorithm is reduced while ensuring the accuracy of the parameter estimation.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xingyuan Xu, Zhiwei Yang, Xianghai Li, Haoran Yu, Yongfei Mao, and Di Jiang "A novel parameter estimation and integration framework for range ambiguous space high-speed maneuvering target", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 1297007 (21 December 2023); https://doi.org/10.1117/12.3012289

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