The time of delay (TOD) estimation of multiple echoes is solved with an iterative multitarget detection/tracking algorithm. The evaluation of the TODs is based on their a-posteriori probability, while a first-order Markov model is used for a-priori probability estimation. The effectiveness of the algorithm (low false-alarm rate and robustness) is also experimentally proven. Moreover the algorithm exhibits a better noise rejection and an improved target resolution with respect to algorithms that perform separate detection and tracking.
Multitarget detection/tracking of echoes with known waveform: algorithm and applications
V Rampa;
1997
Abstract
The time of delay (TOD) estimation of multiple echoes is solved with an iterative multitarget detection/tracking algorithm. The evaluation of the TODs is based on their a-posteriori probability, while a first-order Markov model is used for a-priori probability estimation. The effectiveness of the algorithm (low false-alarm rate and robustness) is also experimentally proven. Moreover the algorithm exhibits a better noise rejection and an improved target resolution with respect to algorithms that perform separate detection and tracking.File in questo prodotto:
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