logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Spacetime Adaptive Processing For Radar J R Guerci

  • SKU: BELL-1078686
Spacetime Adaptive Processing For Radar J R Guerci
$ 31.00 $ 45.00 (-31%)

4.3

48 reviews

Spacetime Adaptive Processing For Radar J R Guerci instant download after payment.

Publisher: Artech House
File Extension: PDF
File size: 5.66 MB
Pages: 203
Author: J. R. Guerci
ISBN: 9781580533775, 9781580536998, 1580533779, 1580536999
Language: English
Year: 2003

Product desciption

Spacetime Adaptive Processing For Radar J R Guerci by J. R. Guerci 9781580533775, 9781580536998, 1580533779, 1580536999 instant download after payment.

Written for engineers familiar with radar, electromagnetics and signal processing, this book establishes basic first order space-time models for clutter and jamming, details important second order and higher effects, and introduces modern space-time adaptive processing (STAP) algorithms. Guerci (Defense Advanced Research Projects Agency) presents design examples that illustrate ways in which various reduced rank STAP methods can be combined to yield good signal-to- interference plus noise ratio (SINR) performance, but with reduced sample support and computational requirements, and extends QR factorization computing architectures to a covariance matrix taper.

Related Products