@inproceedings{cd7b44cf8245496ea1892a5641b4f3f3,
title = "Phase-Correlation-Informed LSTM for Space-Target Pose Estimation from HRRP Sequences",
abstract = "Direct pose estimation from high-resolution range profile (HRRP) sequences remains challenging because HRRPs vary with the radar line of sight (RLOS). This paper proposes a phase-correlation-informed LSTM that fuses the phase correlation between adjacent HRRPs with RLOS through cross-attention. The fused feature is used to condition the LSTM candidate-state update. On non-overlapping non-uniform test views, the proposed method achieves a 93.27\% qualified rate under the 1° criterion and retains approximately 88\% at an SNR of 5 dB, outperforming representative baselines in accuracy and noise robustness.",
keywords = "High-resolution range profile (HRRP) sequence, LSTM, phase correlation, radar line of sight (RLOS), space targets",
author = "Liang Zhang and Wang, \{Ji Yuan\} and Wang, \{Yun Chuan\} and Zhao, \{Cheng Tao\} and Lou, \{Xin Yue\} and Xiaomin Pan",
note = "Publisher Copyright: {\textcopyright} 2026 IEEE.; 2026 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2026 ; Conference date: 10-07-2026 Through 12-07-2026",
year = "2026",
doi = "10.1109/CSRSWTC71154.2026.11669783",
language = "English",
series = "CSRSWTC 2026 - 2026 Cross Strait Radio Science and Wireless Technology Conference, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "CSRSWTC 2026 - 2026 Cross Strait Radio Science and Wireless Technology Conference, Proceedings",
address = "United States",
}