Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Minna Vaila"'
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 54:295-314
We consider the data-driven motion compensation problem in inverse synthetic aperture radar (ISAR) imaging. We present optimization-based ISAR techniques and propose improvements to the range alignment, time-window selection, autofocus, time–freque
In this paper, we consider estimating the distribution of the radar cross section (RCS) using a small number of sparse measured samples. With a small sample size, it is advantageous to use the measured samples in combination with a preliminary descri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9f47283f17bdbc697cf356d2f46224b
https://trepo.tuni.fi/handle/10024/129432
https://trepo.tuni.fi/handle/10024/129432
Publikováno v:
2018 International Conference on Radar (RADAR).
Applications such as radar performance prediction and automatic target recognition (ATR) require a compact description of the target and the ability to simulate target signatures fast. The complexity of the target model often slows the estimation of
Publikováno v:
2017 European Radar Conference (EURAD).
The optimal use of a surveillance radar system requires proper understanding about the system behavior in different configurations, modes, and operating conditions. This paper proposes a machine learning framework for producing and validating the per
Publikováno v:
2017 IEEE Radar Conference (RadarConf).
The objective of the radar performance prediction is to compute quantities of interest concerning the ability of the radar to observe its surroundings. Besides the properties of the radar system, the performance is affected by the target, whose radar
Publikováno v:
2016 IEEE Radar Conference (RadarConf).
In this paper, we propose data-driven optimization techniques for enhancing the ISAR image reconstruction process. We utilize keystone formatting to compensate for the range cell migration caused by the rotational motion and the well-established tech
Publikováno v:
2015 European Radar Conference (EuRAD).
The traditional approach to inverse synthetic aperture radar translational motion compensation is to solve the problem in the two distinct parts of range alignment and autofocus. In this paper, we follow this practice and propose an approach based on
Publikováno v:
2015 IEEE Radar Conference (RadarCon).
In the modern radar target recognition, the model-based approach offers a flexible and computationally efficient way to characterize targets, since establishing an adequate target signature collection especially with bistatic measurements is impracti
Publikováno v:
2015 IEEE Radar Conference (RadarCon).
The radar cross section (RCS) of a target describes its reflectivity towards the radar. It is a deterministic quantity—specific to the aspect angle of the target and the properties of the radar signal—and as such can be predicted with various met
Autor:
Jarkko Kylmala, Minna Vaila, Ville Vaisanen, Henna Perala, Juha Jylha, Risto Vehmas, Vesa-Jukka Salminen, Ari Visa
Publikováno v:
2014 11th European Radar Conference.