Title :
Application of the MLPDA to bistatic sonar
Author :
Willett, Peter ; Coraluppi, Stefano
Author_Institution :
Dept. of ECE, Connecticut Univ., Storrs, CT
Abstract :
Approximately a decade ago the maximum likelihood probabilistic data association (MLPDA) tracking architecture was proposed; it was found, via simulation, to be a very effective (perhaps the only) way to track very low-observable contacts - down to 7-8dB (post signal processing), meaning that in a large field of view a given true contact might only rank consistently among the top five or six of those obtained. The MLPDA is based on maximizing statistical likelihood according to a precise model. Its application to real multistatic data (which is unlikely to fit MLPDA assumptions) is both a test of its effectiveness and an opportunity to explore new ways to improve it. We shall see in what follows: bistatic operation; automatic registration via the "direct blast"; the use of the Savage amplitude feature; false-alarm density modification; and a smart grid-search
Keywords :
maximum likelihood estimation; sonar tracking; target tracking; MLPDA; Savage amplitude feature; automatic registration; bistatic sonar; direct blast approach; false-alarm density modification; low-observable contacts; maximum likelihood tracking; probabilistic data association; smart grid search; Aggregates; Bandwidth; Sea measurements; Sensor arrays; Signal processing; Sonar applications; Sonar detection; Target tracking; Testing; Uncertainty;
Conference_Titel :
Aerospace Conference, 2005 IEEE
Conference_Location :
Big Sky, MT
Print_ISBN :
0-7803-8870-4
DOI :
10.1109/AERO.2005.1559498