The Track-Before-Detect (TBD) algorithms are applied for the tracking of signals below the noise floor. The noise object is the signal that has noise samples only. The processing of such signal using Spatio-Temporal TBD is not possible directly. The proposed preprocessing technique allows analysis of the signal using moving window approach and dot product calculations. Two vectors, related to t...

the authors have developed methods to characterize and quantify uncertainty in acoustic environmental predictions. We have developed methods for reflecting this uncertainty in tactical systems such as senor performance prediction, search plan recommendation, and track and detect systems that rely on environmental inputs. Uncertainty in performance prediction can result from model error and unce...

Real radar data containing a small manoeuvring boat in sea clutter was processed using a grid based finite difference implementation of continuous-discrete filtering. An examination was undertaken to determine the appropriate dynamic, target amplitude and clutter amplitude models which should be utilized to allow the successful application of Track Before Detect techniques (TkBD). Both two dime...

Track-before-Detect (TBD) methods have been applied in the fields of dim target detection in radar systems. The basic principle of TBD is actually the theory of multiple frame integration detection, that is, using the multiple scans data to detect the dim target by accumulation effect which make use of information about target motion trajectory to increase the target detection capability of a s...

A track before detect method based on data fusion of infrared and radar is proposed to increase the probability of correct track initiation and shorten initiation time. Track before detect is a new technique for dim target detection and tracking which is useful when the signal-tonoise ratio of target is low. Particle filter and dynamic programming for track before detect are currently proposed ...

Real-radar data containing a small manoeuvring boat in sea clutter is processed using a finite difference (FD) implementation of continuous-discrete filtering with a four-dimensional constant velocity model. Measurement data is modelled assuming a Rayleigh sea clutter model with embedded Swerling 0, 1, or 3 target signal models. The results are examined to obtain a qualitative understanding of ...

Multipath is today still one of the most critical problems in satellite navigation, in particular in urban environments, where the received navigation signals can be affected by blockage, shadowing, and multipath reception. Latest multipath mitigation algorithms are based on the concept of sequential Bayesian estimation and improve the receiver performance by exploiting the temporal constraints...

In this article, we propose a new extension to a Dynamic Programming Algorithm (DPA) approach for Track-beforeDetect challenges. This extension enables the DPA to process time-delayed sensor data directly. Such delay might appear because of delays in communication networks. The extended DPA is identical to the recursive standard DPA in case of all sensor data appear in the timely correct order....

We describe a video tracking application using the dual-tree Polar Matching Algorithm. We develop the dynamical and observation models in a probabilistic setting and study the empirical probability distribution of the Polar Matching output. We model the visible and occluded target statistics using Beta distributions. This is incorporated into a Track-Before-Detect (TBD) solution for the overall...

An algorithm has been developed for the detection of point targets in uncluttered background based on a Bayesian track before detect method. The algorithm has an application in the detection of sea skimming antiship missiles at maximum range, when the missile appears over the horizon. Because of the long range, angular motion of the target will be insignificant, and target motion cannot be used...