Signal Processing and Data Fusion in Measurement Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Circuit and Signal Processing".
Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 5266
Special Issue Editor
Interests: measurements of physical quantities; phase angle measurements; WIM systems and measurement of road traffic parameters; modeling and simulations of measurement systems; signal processing and data fusion in measurement systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In any technical system, sensors and measuring systems cooperating with them are an essential element enabling the collection of information about the current state of the tested object. The credibility and accuracy of these data are crucial for its further processing and use. Increasingly, in the case of important phenomena and objects, we use many different sensors and other types of knowledge resources at the same time. Therefore, it has become extremely important to use all available data wisely. Since the early 2000s, methods of data fusion at various levels of the data acquisition and processing process have been intensively developed around the world.
In the case of measurement systems, the basic aim of the data fusion is to reduce the uncertainty of measurement results or to increase the effectiveness of classification, detection, or location of the object. This idea involved the joint use of signals and measurement data from many sensors and information derived from other sources (e.g., apriori knowledge). The method used to combine this information depends on the specifics of the object being measured and on the used measurement tools. This method can take diverse forms, starting with a simple averaging of results and continuing on to the use of models based on, e.g., Bayes theory or Kalman’s filtration theory.
In measurement systems, the fusion process can be located in the different levels, from the hardware to advanced methods of signal processing. The methods used for the fusion of data can be divided into three groups:
- competitive fusion, where different types of sensors are used to measure the same physical quantity. This may lead to information redundancy;
- complementary fusion, where each sensor is used to measure a different property of the studied object;
- cooperative fusion, where the correct operation of a single sensor is dependent on the results of some other sensor. Without cooperation, the operation of the first sensor would be impossible or undesirable.
Therefore, it is extremely important from the point of view of measurement systems to review possible data fusion methods, hardware solutions enabling such a fusion, as well as examples of specific applications of such solutions.
This Special Issue invites papers presenting innovative works on all aspects related to Fusion in Measurement Systems, especially in the following areas:
- Sensor level fusion;
- Data fusion methods;
- Application of fusion in measurement systems;
- Data fusion in WIM systems;
- Multi-sensor data fusion;
- Signal processing in measurement system.
Prof. Dr. Ryszard Sroka
Guest Editor
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.
Keywords
- data fusion
- information fusion
- data fusion in WIM
- sensor fusion
- signal processing
- measurement systems
- fusion methods
- data fusion applications
