Target tracking in complex scenarios including jamming conditions for airborne sensor systems
Research Project
, 2013
– 2017
Objective and GoalThe project aims at the following: 1. To develop and improve methods for tracking in complex scenarios, focussing on dense target scenarios and resolution problems. 2. Conduct research in the area of joint tracking and signal processing, and analyze the advantages of that in terms of performance and capability. 3. Develop methods for detection and tracking of small targets in challenging backgrounds. Apart from these three aims, an important purpose with the project is also to develop and strengthen the competence at Chalmers in the area of target tracking.Result and Expected EffectsThe project has the following direct results: - Technical reports, together with conference papers and journal articles in internationally well-renowned conferences and journals. - A prominent research group at Chalmers within the target tracking area. - An improved research cluster within the area, including international collaborations. - Two theses by the PhD student: one for a licentiate of engineering degree, and one for the PhD degree. - New algorithms that can be incorporated in complete tracking functions in industry.Approach and ImplementationThe project is part of a larger research cluster in target tracking, which has been created and established at Chalmers University, partly through previous NFFP projects. The work process of the project follows the process being used when performing research in the area, i.e., it follows the following steps: problem formulation, theoretical derivations, design and realization of algorithms, testing and evaluation, writing of publications and reports, and integration and realization in industry prototypes. The project has five work packages, which are sequential with overlap
Participants
Tomas McKelvey (contact)
Full Professor at Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering, Signal Processing
Abu Sajana Rahmathullah
Doktorand at Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering, Signal Processing
Lennart Svensson
Full Professor at Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering, Signal Processing
Collaborations
Saab
Stockholm, Sweden
Funding
VINNOVA
Project ID: 2013-01213
Funding Chalmers participation during 2013–2017
Related Areas of Advance and Infrastructure
Information and Communication Technology
Areas of Advance
Basic sciences
Roots