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
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;
Conference_Titel :
Radar Conference, 2003. Proceedings of the 2003 IEEE
Print_ISBN :
0-7803-7920-9
DOI :
10.1109/NRC.2003.1203424