A maneuvering target detection in time-series Doppler spectrums with self-organizing model

This paper presents a probability of detection enhancement technique for a maneuvering target with a low radar cross section in time-series Doppler spectrums. The target signal and a noise variance are estimated by the self-organizing model applied to the particle filter and the history of the particle information is used for the detection with a constant false alarm rate. A Monte Carlo simulation is carried out for the performance investigation. The results show that the probability is enhanced, even when a target has a high angular velocity.