A Track-Before-Detect Algorithm Based on Extended H∞ Particle Filter
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Graphical Abstract
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Abstract
This paper addresses the problem of the signal detection and tracking of targets with low signalto- noise ratio, a new track-before-detect method based on extended H∞ particle filter is proposed. The proposed method overcomes the degeneracy problem of particle filter, because the system’s latest observations are considered by the importance density function of the extended H∞ particle filter. Therefore, the acquired particles are more convergent to the true samples. The simulation results exhibit the robustness of the proposed method which shows much better performance than track-before-detect based on traditional particle filter.
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