Wszystkie pola: Maslikowski, L. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Bistatic Noise SAR Experiment with a Non-Cooperative Illuminator
Autorzy:: Maślikowski, Ł.
Kulpa, K.
Powiązania:: https://bibliotekanauki.pl/articles/226516.pdf
Data publikacji:: 2011
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: SAR
noise radar
passive radar
COTS
Opis:: The paper describes the results of a conception-stage experiment with a ground-based bistatic noise SAR (Synthetic Aperture Radar) demonstrator. Its aim was to research the ability of a simple Commercial-Off-The-Shelf (COTS) build system to provide a bistatic SAR image using non-cooperative illuminator. The noise signal used in the experiment is similar to a signal used in many transmission systems such as DVB-T that can be employed in passive bistatic radars. The paper presents the system setup, details of the measurement campaign, signal processing and the results of SAR imaging.
Źródło:: International Journal of Electronics and Telecommunications; 2011, 57, 1; 85-89
2300-1933
Pojawia się w:: International Journal of Electronics and Telecommunications
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Nonuniform Spatial Sampling in a Ground-Based Noise SAR
Autorzy:: Maślikowski, Ł.
Misiurewicz, J.
Powiązania:: https://bibliotekanauki.pl/articles/226510.pdf
Data publikacji:: 2011
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: nonuniform sampling
noise radar
synthetic aperture
radar (SAR)
compressive sampling
Opis:: The paper presents an idea of nonuniform spatial sampling applied to a noise synthetic aperture radar. In certain cases it is desirable to limit the number of spatial (alongtrack) domain samples acquired in a SAR radar because of external constraints on sampling frequency or on the overall number of samples – e.g. in order to economy on time or power consumed. Lowering number of samples taken may, however, lead to spatial aliasing and incorrect reconstruction of the image. Nonuniform sampling allows to reduce the aliasing effect and reconstruct the image better. This technique can be applied with standard reconstruction methods, but it works best together with Compressive Sensing reconstruction algorithms. The idea will be verified with an experimental noise SAR built at ISE PW.
Źródło:: International Journal of Electronics and Telecommunications; 2011, 57, 1; 71-75
2300-1933
Pojawia się w:: International Journal of Electronics and Telecommunications
Dostawca treści:: Biblioteka Nauki