Multi-Sensor Joint Detection and Tracking with the Bernoulli Filter

RSS-based joint detection and tracking in mixed LOS and NLOS environments

“…It is worth mentioning that the proposed filter differs from the multi-sensor Bernoulli in [24] since the clutter is not considered in the proposed filter. Although the Markov chain has been used to describe target maneuvers in the RFS framework [29,[48][49][50], the switching of LOS/NLOS measurement errors has not been addressed in the literature.…”

“…As the Bernoulli filter in a general nonlinear/nonGaussian case has no analytic solution, numerical implementations have been proposed such as the particle filter method [23] and the Gaussian mixture method [24]. In [25], the Bernoulli particle filter has been applied to jointly detect and track an extended target.…”

Visual odometry based on a Bernoulli filter

“…The random finite set (RFS) paradigm is a mathematically principled and elegant approach to multitarget filtering which has already attracted considerable attentions in recent years, whereas the PHD filter is a predict and correct framework for recursive Bayesian filtering in such RFS formulation [13][14][15]. Features are treated as set-valued observations as random finite set allows solving the problem of dynamically estimating multiple-targets in the presence of clutter and association uncertainty.…”

A novel radar radiation control strategy based on passive tracking in multiple aircraft platforms

“…Without radiating energy, passive sensors, such as infrared (IR) and electronic support measure (ESM) have a good stealth performance. The synergy of passive sensors and active sensors can effectively reduce the radiation energy and also become an implementation of LPI [4], [5], [6], [7].…”

“…Though the cooperation tracking of multiple sensors has been researched by lots of academics in recent years, most of these researches are limited to one single aircraft platform [4], [5]. And even some studies in multiple platforms cooperation only involves radars [6], [7], without considering the utilization of passive sensors.…”