Ana gezinime geç Aramaya geç Ana içeriğe geç

Very Low JSR Interference Detection and Estimation Using Eigenvalue Analysis

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

Özet

Global Navigation Satellite System (GNSS) signals arrive at the Earth with very low power, making them highly susceptible to interference even at low jamming-to-signal ratio (JSR) levels. Consequently, the detection of low JSR interference remains an important and challenging problem. The Bordered-Autocorrelation-Method Karhunen–Loève Transform (BAM-KLT) is a widely used eigenvalue-based technique for low JSR interference detection; however, its detection probability can still be improved. In this work, we proposed DBAM-KLT and TBAM-KLT methods by enhancing the derivation model within BAM-KLT. Numerical results, obtained using IEEE DataPort datasets, are presented for both FM and CW interference to demonstrate the improvements achieved.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıSensors and Communication Technologies in the 1 GHz to 10 THz Band
EditörlerNeil A. Salmon, Wladislaw Michailow
YayınlayanSPIE
ISBN (Elektronik)9781510692930
DOI'lar
Yayın durumuYayınlandı - 29 Eki 2025
EtkinlikSensors and Communication Technologies in the 1 GHz to 10 THz Band - Madrid, Spain
Süre: 15 Eyl 202516 Eyl 2025

Yayın serisi

AdıProceedings of SPIE - The International Society for Optical Engineering
Hacim13677
ISSN (Basılı)0277-786X
ISSN (Elektronik)1996-756X

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???Sensors and Communication Technologies in the 1 GHz to 10 THz Band
Ülke/BölgeSpain
ŞehirMadrid
Periyot15/09/2516/09/25

Bibliyografik not

Publisher Copyright:
© 2025 SPIE. All rights reserved.

Parmak izi

Very Low JSR Interference Detection and Estimation Using Eigenvalue Analysis' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.

Alıntı Yap