volume | PIER Journals

Abstract

Target tracking in a low-grazing angle scenario is a challenging problem in radar because of the multipath phenomenon. When the signal-to-noise ratio (SNR) is low, this problem becomes more difficult. This paper applies a Bernoulli filter for low-grazing angle track-before-detect with monopulse radar. A measurement model is established using the Swerling II radar target model. The filter is implemented approximately as a particle filter. Simulation results show that the proposed filter is effective at detection and tracking in a multipath scenario and under low SNR.

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Dr. Fei Cai