Sequential detection of RGPO in target tracking by decomposition and fusion approach

A modified decomposition-and-fusion approach for target tracking in the presence of range-gate-pull-off (RGPO) is proposed. The RGPO detection problem consists of two parts: onset detection and termination detection. The likelihood ratio test used in the decomposition-and-fusion approach is replaced with sequential change detection, such as the cumulative sum test and Shiryayev´s sequential probability ratio test. The proposed approach overcomes the deficiencies of the likelihood ratio test, such as uncontrollable detection probability and neglect of old information, and fits well with the RGPO detection problem. These detectors are evaluated. Simulation results show that the proposed solution substantially outperforms the original solution since miss detection rate is greatly reduced by sequential detection.