Robust Parameter Estimation with Sensor Arrays in Complex Electromagnetic Environments: 2nd Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Radar Sensors".
Deadline for manuscript submissions: 15 March 2025 | Viewed by 719
Special Issue Editors
Interests: array signal processing; direction-of-arrival estimation; source localization; multi-array system
Special Issues, Collections and Topics in MDPI journals
2. National Digital Switching System Engineering and Technology Research Center, Zhengzhou 450002, China
Interests: wireless localization; array signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Sensor arrays have been widely applied in various fields, e.g., wireless communication, radar, sonar, and navigation. The key roles of sensor arrays include providing spatial parameter estimations, for example, for predicting the direction-of-arrival and source position, and for enhancing parameter estimation performances in other domains. However, with the present complex electromagnetic environment, general estimation methods have great performance degradations when encountering complex signal propagation, such as multipath or occlusion situations. Meanwhile, a sensor array system itself also suffers from uncertainties, such as gain-phase errors, position errors, and mutual coupling, which are classical but long-term problems. So, there are urgent requirements for robust estimation methods, including model-driven and data-driven methods, which can achieve high-precision, high-resolution, and large-capacity parameter estimation, regardless of complex influencing factors. This Special Issue invites contributions on the latest developments and advances of robust processing methods, schemes, or architectures on sensor array systems.
Topics to be covered include, but are not limited to, the following:
- Direction-of-arrival estimation with unknown array uncertainties;
- Direction-of-arrival estimation under multipath propagation;
- Distributed array data fusion under complex propagation;
- Source localization in complex electromagnetic environments;
- Array structure design to suppress array uncertainties or complex propagation;
- Data-driven methods for robust parameter estimation or classification;
- Robust detection or estimation methods in array radar system;
- Array system calibration methods;
- Cooperative estimation methods for distributed multi-array parameters;
- Parameter estimation methods of sensor arrays based on artificial intelligence technology.
Dr. Jianfeng Li
Dr. Ding Wang
Guest Editors
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Keywords
- sensor array
- parameter estimation
- robust estimation methods
- direction-of-arrival estimation
- multi-array system
- source localization
- digital array radar
- array structure design
- data-driven methods
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