idw – Informationsdienst Wissenschaft
Nachrichten, Termine, Experten
Nachrichten, Termine, Experten
idw - Informationsdienst
Wissenschaft
06/05/2025 - 06/06/2025 | Wachtberg
Sensors are the foundation of all modern cognitive ESM systems, and signal processing methods, like direction finding, require an accurate model of the array response in order to interpret and fuse sensor data. However, in practice, the antenna array is subject to sensor position errors, electrical cable length differences, mutual coupling, cross-polarization effects, effects of the sensor platform and other effects.
The aforementioned effects can cause significant deviations between the modeled response and the actual response of the array sensor, which can significantly degrade the performance of array signal processing techniques and can, for example, lead to squinted transmit-receive beams or introduce systematic DF errors. A calibration during operation of the array sensor can mitigate model errors and improve the “installed performance” of the sensor. The proposed Lecture Series is intended to raise awareness of the need for array calibration, and to provide an in-depth look at techniques and innovations in this area of research.
Array signal processing techniques for antenna arrays have numerous military applications, including but not limited to transmit-receive beamforming for radar or communication systems, interference rejection using controlled reception pattern antennas (CRPA), radio direction finding, and passive emitter localization. In military applications (air-to-ground, air-to-air, ground-to-air) a precise and time-critical targeting is required. Therefore, precise calibration is of particular importance for military sensor systems in order to achieve high accuracies. The aim of this series of lectures is to raise awareness of this topic and to present the methods and advances currently available.
Modern fusion algorithms process vast amounts of data from numerous different active and passive sensor systems. The sensor model that links the physical phenomenon to the sensor's output signal is of paramount importance. Often, fusion algorithms attempt to account for sensor errors due to overly simple models or improperly calibrated sensors.
There is an inherent trade-off between the performance and complexity of a model. While simple models are easy to calibrate, i.e., all unknown model parameters can be easily determined, they often cannot fully capture the actual (complex) sensor response. On the other hand, the discrepancy between the actual and modeled response of a sensor can be reduced by an increasingly complex sensor model, but at the expense of costly calibration procedures. The upfront cost of calibrating a sensor can be enormous, so self-calibration procedures that reduce model deviations during sensor operation are highly desirable. The eminent importance of appropriate sensor models and corresponding (self-)calibration procedures should be considered by the international information fusion community.
Information on participating / attending:
Date:
06/05/2025 09:00 - 06/06/2025 17:00
Event venue:
Fraunhofer Institute for Communication, Information Processing and Ergonomics FKIE
Fraunhoferstraße 20
53343 Wachtberg
Nordrhein-Westfalen
Germany
Target group:
Business and commerce, Scientists and scholars
Email address:
Relevance:
international
Subject areas:
Electrical engineering, Information technology
Types of events:
Conference / symposium / (annual) conference
Entry:
02/25/2025
Sender/author:
Christina Haberland
Department:
Wissenschaftskommunikation
Event is free:
no
Language of the text:
English
URL of this event: http://idw-online.de/en/event78762
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