Title :
Multipath cancellation using a maximum likelihood metric space
Author_Institution :
NSWC PCD, Panama City, FL, USA
Abstract :
Multipath signals occur in many sonar, radar, and communication applications. It is, of course, generally desirable to eliminate these unwanted signals. Traditional array signal processing techniques often have trouble eliminating these signals when only a small number of array elements are available. The maximum likelihood method explicitly models multiple signals in its mathematical construction. This feature effectively opens up a multidimensional space that allows the desired direct path signal to be completely decoupled from the multipath signals. Examples with both narrowband and broadband signals are presented.
Keywords :
interference suppression; maximum likelihood estimation; signal processing; direct path signal; maximum likelihood method; maximum likelihood metric space; multidimensional space; multipath cancellation; multipath signals; Array signal processing; Extraterrestrial measurements; Mathematical model; Multidimensional signal processing; Multidimensional systems; Radar applications; Radar signal processing; Signal processing; Sonar applications; Sonar measurements;
Conference_Titel :
OCEANS 2009, MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges
Conference_Location :
Biloxi, MS
Print_ISBN :
978-1-4244-4960-6
Electronic_ISBN :
978-0-933957-38-1