Target Tracking by Adaptive Waveform Design of Generalized Frequency Modulation

DOI

10.2991/eame-15.2015.104How to use a DOI?

Keywords

generalized frequency modulation; target tracking; kalman filtering; adaptive waveform design

Abstract

A tracking algorithm by adaptive waveform design of generalized frequency modulation (GFM) is researched in this paper. According to the tracker’s dynamical requirements, the transmitted waveform for the next time step is adaptively designed based on GFM pulses as a sample waveform, in order to minimize the predicted tracking mean squared error (MSE). With the assumption of high SNR and the linear dynamical state and observation models, the adaptive design of GFM waveform is implemented by minimizing the predicted MSE with the waveform dependent Cramer-Rao Lower Bound (CRLB) and Kalman filtering. Simulation results show that under the same SNR conditions, the tracking MSE of the algorithm is lower than that of the tracking algorithms based on linear frequency modulation with the fixed or adaptive parameters.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - W.H. Xue
AU  - F. Xie
AU  - L. Mao
PY  - 2015/07
DA  - 2015/07
TI  - Target Tracking by Adaptive Waveform Design of Generalized Frequency Modulation
BT  - Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering
PB  - Atlantis Press
SP  - 376
EP  - 378
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-15.2015.104
DO  - 10.2991/eame-15.2015.104
ID  - Xue2015/07
ER  -