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Traditional maximum entropy fuzzy probabilistic data association filter (MEF-PDAF) algorithm has the problems of weak robustness to model variation and low capacity to track maneuvering target in single observer bearings-only target tracking in cluttered underwater environment. In order to resolve these problems, MEF-PDAF is improved, and a novel algorithm named strong tracking MEF-PDAF (ST-MEF-PDAF) is proposed. Similar to strong tracking filter (STF) algorithm, the fading factor is introduced in ST-MEF-PDAF to adjust the gain matrix, and its robustness is strengthened. The simulation of single observer bearings-only target tracking in cluttered underwater environment is conducted, ST-MEF-PDAF algorithm can track maneuvering target in 500 seconds, but the traditional MEF-PDAF can’t, so the ability to track maneuvering target of ST-MEF-PDAF algorithm is higher than traditional MEF-PDAF algorithm.