Probabilistic data association applications to data fusion

A technique for sensors fusion with limited number of common measures

“…We proposed in our previous papers 5, 6 , an alternative approach to that above, which does not exhibit the same drawback. We developed the following fusion equation:…”

“…Furthermore, as the range is not directly observable and it is not possible to have any direct feedback or confirmation from reality, the probability of an unreliable and/or unstable fusion could be high. This paper is an extension of the data fusion algorithms described in previous works published by the SPIE magazine Optical Engineering ("Technique for radar and infrared search and track data fusion" 5 , "Probabilistic data association applications to data fusion" 6 ). Specifically, the algorithm is applied to 3D radars and the benefits with respect to a known approach from the literature about the fusion equation are analyzed.…”

Robust dual-band MWIR/LWIR infrared target tracking

“…For example, dual-band sensors operating in the shortwave IR (SWIR) and midwave IR (MWIR) bands as well as in the MWIR and longwave IR (LWIR) bands have been used in surface-to-air missile seekers to reject countermeasures such as flares [9], [10]. MWIR/LWIR sensors are currently used for shipboard IR search and track (IRST) [11], [12] and MWIR/MWIR sensors have been used to prevent false alarms in aircraft missile warning receivers [13]- [15].…”

“…Comparatively much less work has been devoted to the study of algorithms for dual-band MWIR/LWIR automatic target recognition (ATR), detection, and tracking where the main intended receiver is a machine as opposed to a human. Several authors have considered automated MWIR/LWIR fusion for detection and tracking of small and point targets in IRST applications [11], [12], [24]- [26]. For extended targets, Dainty, et al, integrated a correlator and Kalman filter with an embedded neural network in the tracking loop to track ground vehicles with a dual-band MWIR/LWIR FLIR sensor [27].…”