GM-CBMeMBer-based multi-target tracking in the presence of Doppler blind zone

In order to improve the multi-target tracking performance of Doppler radar in the presence of Doppler blind zone (DBZ), the detection probability model with minimum detectable velocity (MDV) is incorporated into Gaussian mixture cardinality balanced multi-target multi-Bernoulli (GM-CBMeMBer) filter. After integrating the new detection probability model into the multi-target posterior density of the standard GM-CBMeMBer, we derive the updated density for a novel GM-CBMeMBer filter where the MDV and Doppler information are fully exploited. It is demonstrated through numerical studies that the proposed filter outperforms the GM-CBMeMBer filter which doesn't incorporate the Doppler and MDV information in the presence of the DBZ.