A typical sensor data processing sequence uses a detection algorithm prior to tracking to
extract point measurements from the observed sensor data. Track before detect (TBD) is a …

A particle-based track-before-detect filtering algorithm is presented. This algorithm incorporates
the Swerling family of target amplitude fluctuation models in order to capture the effect of …

Track-before-detect is a powerful technique for detection and tracking of targets with low
signal-to-noise ratio. This paper presents a performance comparison of two particle filters …

Track-Before-Detect (TkBD) is a paradigm that combines the target detection and estimation
processes that are usually sequentially applied to sensor data in a conventional system. …

Tracking of dim, or low signal-to-noise ratio (SNR), targets is commonly achieved using track-before-detect
(TBD) techniques. While traditional tracking algorithms operate on detections, …

Track-before-detect (TBD) refers to a tracking scheme where detection of a target is not
made by placing a threshold on the sensor data. Rather, the complete sensor data is used to …

Standard target state estimation schemes typically use detections as their source of measurements,
which are produced by thresholding the output of a sensor’s signal processing stage…

Conducting surveillance of the geocenric orbits is a key task towards achieving space situational
awareness (SSA). Our work focuses on the optical detection of man-made objects (eg, …

Meteoroid modelling of fireball data typically uses a one dimensional model along a straight
line triangulated trajectory. The assumption of a straight line trajectory has been considered …

This chapter presents a review of many of the recent algorithms for track‐before‐detect (TBD)
and assesses their performance. It presents an outline of the historical context of TBD and …