Nonlinear Estimation Advances and Results
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 5060
Special Issue Editors
Interests: information fusion; space-aware tracking; industrial avionics; human factors
Special Issues, Collections and Topics in MDPI journals
Interests: state estimation (nonlinear filtering; local and global approaches); system identification; aerospace engineering; navigation algorithms and systems; integrity monitoring
Special Issue Information
Dear Colleagues,
Nonlinear estimation is broadly applicable to numerous electronic devices that receive signals and output states to enhance dynamical control. Recent advancements are needed to support the future of air and space avionics, autonomous cars, smart cities, and biomedical applications. This Special Issue is devoted to contemporary techniques and applications that resolve challenges in uncertainty quantification, density analysis, and signal filtering. One of the primary techniques in estimation is the Kalman Filter (KF) from which a variety of novel techniques have enhanced the method for ever more refined performance. However, the specific techniques can be domain dependent based on the data, control, and system they are being applied. Coupled with estimation is the understanding of the capability towards metrics, which characterize the performance of estimation techniques resulting from laboratory simulations to real-world applications.
One of the current challenges facing estimation techniques is scaling for performance results. With the advent of big data from multiple devices, current approaches need to perform in a network of distributed, federated, and decentralized applications. From the multidimensional 1D signals, 2D imaging, 3D volumetric, and 4D temporal analysis to higher dimensions, efficient methods for multiresolution analysis are required. Such situations arise in sonar, radar, video, multispectral and other modalities that are used for the surveillance and control of man-made systems. Likewise, for natural systems, there are a variety of phenomena that can leverage estimation techniques for environment (e.g., seismic, acoustic and weather) monitoring. Estimation supports system design of material awareness (e.g., fabrication, inspection, and characterization) and situational awareness (e.g., tracking, monitoring, filtering). Hence, multiresolution scaling methods should complement the model fidelity, data sampling, and information content to better understand the physical systems being assessed.
The aim of this Special Issue is to focus on advances in nonlinear estimation techniques and applications towards multimodal (e.g., multisensor, multiphenomenology, and multiresolution) data-processing in complex scenarios, software methods, and/or hardware devices.
Submissions to this Special Issue on “Nonlinear Estimation Advancements and Results” are solicited to represent a snapshot of the field’s development by covering a range of topics that include, but are not limited to new methods, algorithms, solutions, and applications in the following areas:
- Federated, decentralized and distributed filtering;
- Dynamic data, feature, and decision fusion;
- Navigation, control, and coordination of autonomous systems;
- Biomedical, multimedia, and statistical signal processing;
- Communication, networking, and cyber analysis;
- Multi-dimensional, multimodal, multi-phenomenology characterization;
- Signals, data, and information understanding;
- Space, situation, and environment awareness;
- Shallow, deep, and temporal machine learning;
- Real-time algorithms for nonlinear estimation;
- Hardware-specific implementations of nonlinear estimation.
Prof. Dr. Erik Blasch
Dr. Jindrich Dunik
Prof. Dr. Ondřej Straka
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
