By Topic

A novel joint estimator of multiple underwater sources with multiple parameters

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Qunfei Zhang ; Northwestern Polytech. Univ., Xi'an, China ; Jiangua Huang ; Zhen Bao

A new generalized eigenstructure-based 3-dimensional joint estimator (GETJE) for the direction, frequency, and time-delay of multiple sources is presented. For 2-dimensional joint parameter estimation, we proposed an ESPRIT-based algorithm (Qunfei Zhang and Jianguo Huang, Int. Conf. On ASSP, 1999). Now we extend it to the 3-dimensional estimator. Using a single echo wave, the bearings, frequencies and time-delays of multiple reflectors are jointly estimated. We construct 2 sub-arrays like ESPRIT, and then conduct generalized eigen-decomposition for their auto-correlation matrix and cross-correlation matrix. Bearing parameters can be estimated from eigenvalues, while frequency parameters can also be obtained from corresponding eigenvectors. After modifying the time-delay vectors of the envelop of the emitting signal according to the estimated frequencies, the time-delay parameters can be obtained simultaneously. Computer simulations show that the GETJE can carry out the 3-dimensional joint parameter estimation without additional pairing in the case of lower SNR. Preferable results are also obtained in water tank experiments, which indicate that the GETJE is robust for sensor array errors and has potential applications.

Published in:

Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on  (Volume:2 )

Date of Conference:

17-21 May 2004