Electronics Optics & Control, Volume. 22, Issue 11, 23(2015)
PHD Filter Algorithm for Multi-target Tracking Based on Quadrature Particle Filter
Under the circumstances of multi-target tracking, due to clutter, missed detection and no-linearity, the Particle Probability Hypothesis Density (P-PHD) algorithm will result in such problems as low filter accuracy and tracking divergence.To overcome these problems, a Quadrature Particle based PHD Filter (QPF-PHD) algorithm is proposed.The Quadrature Particle Filter (QPF) is used to realize PHD;the Quadrature Kalman Filter (QKF) algorithm is applied to generate a better importance density function, from which to sample particles, enabling the distribution of particles to be much closer to the real distribution of PHD.The simulation results demonstrate that:compared with particle PHD and Gizmo particle PHD filter algorithms, the proposed filter algorithm has higher filter accuracy and stability.
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MU Xiang-qiang, WANG Zhao-ying, WEI Zhang, KONG Yun-bo. PHD Filter Algorithm for Multi-target Tracking Based on Quadrature Particle Filter[J]. Electronics Optics & Control, 2015, 22(11): 23
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Received: Dec. 29, 2014
Accepted: --
Published Online: Dec. 18, 2015
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