track‐before‐detect (TBDViterbi algorithmThis chapter presents a review of several recent algorithms for track-before-detect (TBD) and assesses their performance, and presents an outline of the historical context of TBD. It also motivates the study of TBD with an example where conventional ...
Track Before Detect Algorithms - Boers, Ehlers, et al. - 2008 () Citation Context ...roach, which proposes to base the tracking on the raw measurements instead of plots, was first investigated in [4], [13]. Since then a number of TBD techniques and applications have been studied [8],...
Low Complexity Track Initialization from a Small Set of Non-Invertible Measurements Christian R. Berger,Martina Daun…Article:756414 Download PDF(4630KB)View Article Research Article A Comparison of Detection Performance for Several Track-before-Detect Algorithms ...
一种用于高脉冲重复频率雷达的tbd检测算法 a track-before-detect algorithm for high pulse repetition frequency radar 下载文档 收藏 打印 转格式 117阅读文档大小:1.48M6页结结化装上传于2015-01-30格式:PDF 高脉冲重复频率雷达解距离模糊方法研究.pdf
Integrated Waveform-Agile Multi-Modal Track-before-Detect Algorithms for Tracking Low Observable Targets In this thesis, an integrated waveform-agile multi-modal tracking-beforedetect sensing system is investigated and the performance is evaluated using an exp... S Liu - Dissertations & Theses - Gradw...
D Orlando, F Ehlers, G Ricci, Track-before-detect algorithms for bistatic sonars, in 2nd International Workshop on Cognitive Information Processing (CIP), 180–185 (2010) 24. SS Blackman, R Popoli, Design and analysis of modern tracking systems (Artech House, New York, 1999) 25. Y Bar-...
Integrated Waveform-Agile Multi-Modal Track-before-Detect Algorithms for Tracking Low Observable Targets In this thesis, an integrated waveform-agile multi-modal tracking-beforedetect sensing system is investigated and the performance is evaluated using an exp... S Liu - Dissertations & Theses - Gradw...
Since optimal implementation of the GLRT has a nonlinear complexity either in the number of targets or in the number of integrated frames, suboptimum algorithms are investigated which allow to trade better estimation and tracking accuracy for a much lower implementation complexity. Next, the TBD ...
The most commonly used machine learning (ML) algorithms use the concept of supervised learning, in which the system is provided both an example input and the specific output it should produce given that input. This approach has proven to be extremely effective in many applications, but falls sho...
Integrated Waveform-Agile Multi-Modal Track-before-Detect Algorithms for Tracking Low Observable Targets In this thesis, an integrated waveform-agile multi-modal tracking-beforedetect sensing system is investigated and the performance is evaluated using an exp... S Liu - Dissertations & Theses - Gradw...