Optical Processing Of Covariance Matrices For Adaptive Processors

Edward J Baranoski; David P Casasent

doi:10.1117/12.944190

12 April 1988 Optical Processing Of Covariance Matrices For Adaptive Processors

Edward J Baranoski, David P Casasent

Proceedings Volume 0886, Optoelectronic Signal Processing for Phased-Array Antennas; (1988) https://doi.org/10.1117/12.944190
Event: 1988 Los Angeles Symposium: O-E/LASE '88, 1988, Los Angeles, CA, United States

Abstract

This paper details the use of linear algebraic optical processors for narrowband and wideband adaptive phased array radar (APAR) applications. A general APAR scenario is explained, outlining the need for improvements in processor performance which optical processing techniques can provide. We then analyze the optical architecture and its implementation including negative base encoding for bipolar data, AC-coupled inputs for linearity and temperature stability, matrix partitioning for handling large matrices, and bit partitioning for improved accuracy. A new block Toeplitz processing algorithm for wideband processing is presented. Results of an inverse covariance matrix updating algorithm are shown.

Citation Download Citation

Edward J Baranoski and David P Casasent "Optical Processing Of Covariance Matrices For Adaptive Processors", Proc. SPIE 0886, Optoelectronic Signal Processing for Phased-Array Antennas, (12 April 1988); https://doi.org/10.1117/12.944190

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available