Novel Multi-Target Tracking Algorithm for Automotive Radar
نویسندگان
چکیده
Tracking multiple maneuvering targets for automotive radar is a vital issue. To this end, a novel DS-UKGMPHD algorithm which combines diagraph switching (DS), unscented Kalman (UK) filter and Gaussian mixture probability hypothesis density (GMPHD) filter is proposed in this paper. The algorithm is capable of tracking a varying number of target cars detected by automotive radar with nonlinear measurement models in a cluttered environment. In addition, variable structure is used to accommodate various target motions in real world. Simulation results demonstrate the superiority of the presented algorithm to IMM-UKGMPHD filter in terms of estimation accuracy of both number and states.
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Hongshe Dang Institute of Synthetic Automation Xi’an Jiaotong University Xi’an, Shaan xi 710049, P. R. China [email protected] Chongzhao Han Institute of Synthetic Automation Xi’an Jiaotong University Xi’an, Shaan xi 710049, P. R. China [email protected] Zhansheng Duan Institute of Synthetic Automation Xi’an Jiaotong University Xi’an, Shaan xi 710049, P. R. China [email protected] Ab...
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