%0 Conference Proceedings %T A particle filter for multitargets tracking in track before detect context %+ Lab-STICC_ENSTAB_MOM_PIM %+ Pôle STIC_REMS %+ Ecole Nationale Polytechnique [Alger] (ENP) %A Khenchaf, Ali %A Amrouche, Naima %A Berkani, Daoud %< avec comité de lecture %B SPIE Remote Sensing %C Edinburgh, United Kingdom %8 2016-09-26 %D 2016 %R 10.1117/12.2242075 %K Signal to noise ratio Particle filters Target detection Detection and tracking algorithms Particles Computer simulations Monte Carlo methods %Z Engineering Sciences [physics]/Signal and Image processing %Z Engineering Sciences [physics]/ElectromagnetismConference papers %X The track-before-detect (TBD) approach can be used to track a single target in a highly noisy radar scene. This is because it makes use of unthresholded observations and incorporates a binary target existence variable into its target state estimation process when implemented as a particle filter (PF). This paper proposes the recursive PF-TBD approach to detect multiple targets in low-signal-to noise ratios (SNR). The algorithm’s successful performance is demonstrated using a simulated two target example. %G English %L hal-01653554 %U https://hal.science/hal-01653554 %~ UNIV-BREST %~ INSTITUT-TELECOM %~ ENSTA-BRETAGNE %~ CNRS %~ UNIV-UBS %~ ENSTA-BRETAGNE-STIC %~ ENIB %~ LAB-STICC_ENIB %~ LAB-STICC %~ INSTITUTS-TELECOM