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14 December 2015 Ballistic missile precession frequency extraction based on the Viterbi & Kalman algorithm
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Proceedings Volume 9812, MIPPR 2015: Automatic Target Recognition and Navigation; 98120X (2015) https://doi.org/10.1117/12.2205665
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China
Abstract
Radar Micro-Doppler signatures are of great potential for target detection, classification and recognition. In the mid-course phase, warheads flying outside the atmosphere are usually accompanied by precession. Precession may induce additional frequency modulations on the returned radar signal, which can be regarded as a unique signature and provide additional information that is complementary to existing target recognition methods. The main purpose of this paper is to establish a more actual precession model of conical ballistic missile warhead and extract the precession parameters by utilizing Viterbi & Kalman algorithm, which improving the precession frequency estimation accuracy evidently , especially in low SNR.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Longlong Wu, Yongjie Xie, Daping Xu, and Li Ren "Ballistic missile precession frequency extraction based on the Viterbi & Kalman algorithm", Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 98120X (14 December 2015); https://doi.org/10.1117/12.2205665
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