You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
1 September 1990Optical householder implementation for adaptive phased array radar processing
A new algorithm using the Householder transform to directly update an inverse data covariance matrix is examined for adaptive phased array radar (APAR) problems This algorithm is shown to operate very efficiently on parallel matrix-vector processors without the need for costly vector outer products. The processing accuracy requirements for this algorithm are shown to be roughly half that of more conventional direct approaches, which nearly doubles the processing speed. We investigate the performance of this algorithm with various jammer scenarios, and incorporate a joint jammer-clutter reduction architecture using a displaced phase center antenna (DPCA).
The alert did not successfully save. Please try again later.
Edward J. Baranoski, David P. Casasent, "Optical householder implementation for adaptive phased array radar processing," Proc. SPIE 1296, Advances in Optical Information Processing IV, (1 September 1990); https://doi.org/10.1117/12.21285