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A sequential detection and tracking (SDT) approach is proposed for detectionand tracking of very low signal-to-noise (SNR) objects. The proposed approachis compared with two existing particle filter track-before-track (TBD) methods.It is shown that the former outperforms the latter. A conventional detectionand tracking (CDT) approach, based on one-data-frame thresholding, isconsidered as a benchmark for comparison. Simulations demonstrate theperformance.

A Sequential Detection and Tracking of Very Low SNR Objects