DocumentCode
3502242
Title
New detection algorithm for poor signal-to-noise conditions
Author
Vihonen, Juho ; Ala-Kleemola, Timo ; Helander, Elina ; Tikkinen, Jani ; Visa, Ari
Author_Institution
Inst. of Signal Process., Tampere Univ. of Technol., Finland
fYear
2003
fDate
5-8 May 2003
Firstpage
345
Lastpage
349
Abstract
A new detection algorithm for radar signal processing is presented. Especially in fighter applications, well-performing detection algorithms play a crucial role for enhancing situational awareness. By utilizing the local characteristics of the received signal more efficiently, better performance can be achieved. As phenomena-considered-disturbances in the received target signal are often discarded, valuable information is lost. However, this associated information can benefit the system, although even the latest statistical inference and modeling, are applied in practice with synthetic array radar (SAR) image processing. The usefulness of this new approach is demonstrated.
Keywords
military aircraft; military radar; radar detection; radar signal processing; target tracking; detection algorithm; fighter application; phenomena-considered-disturbance; poor signal-to-noise condition; radar signal processing; received target signal; statistical inference; synthetic array radar image processing; well-performing detection algorithm; Background noise; Detection algorithms; Object detection; Radar detection; Senior members; Signal detection; Signal processing algorithms; Statistics; Target tracking; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Conference, 2003. Proceedings of the 2003 IEEE
Print_ISBN
0-7803-7920-9
Type
conf
DOI
10.1109/NRC.2003.1203424
Filename
1203424
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