Ballistic missile precession frequency extraction based on the Viterbi and Kalman algorithm

Longlong Wu; Yongjie Xie; Daping Xu; Li Ren

doi:10.1117/12.2205665

14 December 2015 Ballistic missile precession frequency extraction based on the Viterbi & Kalman algorithm

Longlong Wu, Yongjie Xie, Daping Xu, Li Ren

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.

Citation Download Citation

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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KEYWORDS

Time-frequency analysis

Radar

Amplifiers

Missiles

Detection and tracking algorithms

Transform theory

Error analysis

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