Title :
Biologically Inspired Methods for Array Signal Processing
Author :
Perlovsky, Leonid
Author_Institution :
AFRL, Wright-Patterson AFB, OH
Abstract :
This paper focuses on the various array signal processing methods that have been inspired by biological models. It discusses the long-standing algorithmic challenges and combinatorial complexity as well as the knowledge instinct and dynamic logic of these biologically-inspired methods. It also provides examples of these methods used in GMTI tracking, slow-moving targets in SAR and UAV swarm navigation and fusion
Keywords :
array signal processing; biocomputing; fuzzy logic; navigation; synthetic aperture radar; target tracking; GMTI tracking; SAR; UAV swarm navigation; array signal processing; biologically inspired methods; combinatorial complexity; dynamic logic; fusion; ground moving target indication tracking; knowledge instinct; slow-moving targets; synthetic aperture radar; unmanned aerial vehicle; Array signal processing; Biomedical signal processing; Logic arrays; Navigation; Signal processing algorithms; Target tracking; Unmanned aerial vehicles;
Conference_Titel :
Sensor Array and Multichannel Processing, 2006. Fourth IEEE Workshop on
Conference_Location :
Waltham, MA
Print_ISBN :
1-4244-0308-1
DOI :
10.1109/SAM.2006.1706222
