Title :
A signal disambiguation algorithm for use in multi-beam receivers
Author :
Stringer, Jonathan ; Akers, Geoffrey ; Lamont, Gary
Author_Institution :
Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Dayton, OH, USA
fDate :
June 29 2014-July 2 2014
Abstract :
Receiver systems designed to simultaneously act on multiple wideband signals of interest must be able to differentiate between the different wideband signals of interest in the electromagnetic environment. Separation of interference sources from signals of interest relies on a system having either spatial or spectral diversity to detect and remove the interference sources. If interference sources are co-located in either frequency or space with the signal of interest classical techniques fail to resolve the signals of interest within the interference. This paper presents a new signal disambiguation algorithm with both spatial and spectral diversity that is able to act in a congested electromagnetic environment and distinguish between multiple signals of interest while rejecting noise co-located in frequency and/or space with the signals of interest.
Keywords :
array signal processing; direction-of-arrival estimation; interference suppression; source separation; DOA estimation; congested electromagnetic environment; interference source detection; interference source removal; interference source separation; multibeam receivers; multiple-wideband signals; noise rejection; signal disambiguation algorithm; signal-of-interest classical technique; spatial diversity; spectral diversity; Arrays; Direction-of-arrival estimation; Electromagnetics; Estimation; Interference; Receivers; Signal processing algorithms; Adaptive algorithm; Adaptive arrays; Detection algorithm;
Conference_Titel :
Statistical Signal Processing (SSP), 2014 IEEE Workshop on
Conference_Location :
Gold Coast, VIC
DOI :
10.1109/SSP.2014.6884573