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

翻译：提出了一种用于检测和跟踪极低信噪比目标的序列检测与跟踪方法。将该方法与两种现有的粒子滤波跟踪前检测方法进行了比较，结果表明前者优于后者。基于单数据帧阈值的传统检测与跟踪方法作为比较基准，仿真实验验证了其性能。