By Topic

Cross correlation and energy detection in multiarray processing

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

1 Author(s)
R. Altes ; ORINCON Corporation, La Jolla, CA

Multiple arrays can be modeled as a single array that is composed of separate subarrays. Likelihood ratio testing, maximum likelihood delay-Doppler estimation, and maximum likelihood estimation of signal and noise parameters are applied to such a model in order to determine whether cross correlation should be used alone or in conjunction with other operations. The results indicate that cross correlation alone is usually suboptimum. Detection or combined detection-estimation should use a weighted sum of pairwise cross correlations between subarrays and energy detection at each subarray. Subarray cross correlation alone is only optimum for certain estimation problems and time windows. Cross-correlator and energy detector outputs at different frequencies should be linearly combined using frequency-dependent weighting functions. These functions are obtained for multiarray processing. For the special case of two-array cross correlation, the weighting function is the same as the one obtained by Knapp and Carter.

Published in:

IEEE Transactions on Acoustics, Speech, and Signal Processing  (Volume:33 ,  Issue: 3 )