In this work, the problem of detecting and tracking targets with synthetic aperture radars is considered. A novel approach in which prior knowledge on target motion is assumed to be known for small patches within the field of view. Probability densities are derived as priors on the moving target signature within backprojected SAR images, based on the work of Jao. Furthermore, detection and trac...

Track-before-detect methods operate directly upon raw sensor signals without a separate, explicit detection stage. An efficient implementation of a Bayesian track-before-detect particle filter is described for tracking of a single target in a sequence of images. The filter provides a sample based approximation to the distribution of the target state directly from pixel array data. The filter al...

TBD Plenary Speech 2: Mobile Device-to-Device Video Distribution: Theory and Application Speaker: Prof. Liang Zhou, Nanjing University of Posts and Telecommunications, China Time: Monday Morning, September 26, 2016 Location: Tongji Room(通济厅), 3rd Floor, Ramada Xi'an Bell Tower Abstract As the video traffic has dominated the data flow of smartphones, traditional cellular communication faces subs...

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...

This article presents a Bayesian algorithm for detection and tracking of a target using the track-before-detect framework. This strategy enables to detect weak targets and to circumvent the data association problem originating from the detection stage of classical radar systems. We first establish a Bayesian recursion, which propagates the target state probability density function. Since raw me...

Blind localization and tracking of mobile terminals in urban scenarios is an important requirement for offering new locationbased services, handling emergency cases of nonsubscribed users, public safety, countering IEDs, and so forth. In this context, we propose a track-before-detect scheme taking explicitly advantage of multipath propagation in an urban terrain by using a priori information ab...

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...