Title :
Signal subspace projection methods of adaptive sensor array processing
Author :
Carhoun, Dean O.
Author_Institution :
Mitre Corp., Bedford, MA, USA
Abstract :
Reduced-rank subspace projection methods are used indirectly in frequency and angle-of-arrival estimation algorithms such as MUSIC and its relatives, but they are not commonly used directly in least-squares detection applications. The author has been exploring their use for the processing of underwater acoustic receiver array data for detection and matched-field localization. He describes and illustrates several techniques that have been developed and applied to signals recorded from different types of arrays
Keywords :
acoustic signal processing; array signal processing; signal detection; sonar; MUSIC; adaptive sensor array processing; angle-of-arrival estimation algorithms; frequency estimation algorithms; least-squares detection applications; matched-field localization; reduced-rank subspace projection methods; signal subspace projection methods; underwater acoustic receiver array data; Acoustic arrays; Acoustic sensors; Acoustic signal detection; Adaptive arrays; Array signal processing; Frequency estimation; Interference; Matrix decomposition; Multiple signal classification; Sensor arrays; Signal processing; Signal to noise ratio; Underwater acoustics; Underwater tracking;
Conference_Titel :
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-4120-7
DOI :
10.1109/ACSSC.1993.342396