By Topic

Bootstrap-based detection of targets with unknown parameters in unspecified correlated interference

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

2 Author(s)
Hwa-Tung Ong ; Telecommun. Res. Inst., Curtin Univ. of Technol., Perth, WA, Australia ; A. M. Zoubir

A detection scheme is proposed for targets in a correlated interference environment. The scheme does not require training data but uses the bootstrap to estimate the distribution of the test statistic under the null hypothesis directly from the received data. It also provides estimates of the frequency and phase of the target return as by-products. Simulation results are provided that indicate its performance for correlated Gaussian and non-Gaussian interference. Good detection of 100% is achievable at -5 dB signal-to-noise ratio for sample sizes as small as 500 data points.

Published in:

Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on  (Volume:2 )

Date of Conference:

24-27 Oct. 1999