Track before Detect Algorithms

Detection Algorithms and Track before Detect Architecture Based on Nonlinear Filtering for Infrared Search and Track Systems Technical Report Cams-98.9.1

Suppression of impulse noise in Track-Before-Detect Algorithms

Influence of the impulse noise in recurrent Track-Before-Detect Algorithms is considered in this paper. Impulse noise from the object should improve tracking performance but it is not true. This is the SNR paradox that could be explained using Markov matrix theorem. Suppression of the signal value using threshold techniques improves output SNR. Description of this effect is detailed shown in th...

Application of Dot Product for Track-before-detect Tracking of Noise Objects

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...

Performance of Dot-product preprocessing for Track-Before-Detect tracking of noise objects

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 preprocessing technique based on the window approach and dot-product calculations emphasis the differences between global and local empirical distribut...

A Particle Filter Track-Before-Detect Algorithm Based on Hybrid Differential Evolution

In this paper, we address the problem of detecting and tracking targets with a low signal-to-noise ratio (SNR) by exploiting hybrid differential evolution (HDE) in the particle filter track-before-detect (PF-TBD) context. Firstly, we introduce the Bayesian PF-TBD method and its weaknesses. Secondly, the HDE algorithm is regarded as a novel particle updating strategy, which is proposed to optimi...