Share Email Print
cover

Proceedings Paper

Data rate management and real time operation: recursive adaptive frame integration of limited data
Author(s): Michael K. Rafailov
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Recursive Limited Frame Integration was proposed as a way to improve frame integration performance and mitigate issues related to high data rate needed to support conventional frame integration. The technique uses two thresholds -one tuned for optimum probability of detection, the other to manage required false alarm rate, and places integration process between those thresholds. This configuration allows a non-linear integration process that, along with Signal-to-Noise Ratio (SNR) gain, provides system designers more capability where cost, weight, or power considerations limit system data rate, processing, or memory capability. However, Recursive Frame Integration Limited may have performance issues when single-frame SNR is really low. Recursive Adaptive Limited Frame Integration was proposed as a means to improve limited integration performance with really low single-frame SNR. It combines the benefits of nonlinear recursive limited frame integration and adaptive thresholds with a kind of conventional frame integration. Adding the third threshold may help in managing real time operations. In the paper the Recursive Frame Integration is presented in form of multiple parallel recursive integration. Such an approach can help not only in data rate management but in mitigation of low single frame SNR issue for Recursive Integration as well as in real time operations with frame integration.

Paper Details

Date Published: 7 September 2006
PDF: 10 pages
Proc. SPIE 6294, Infrared and Photoelectronic Imagers and Detector Devices II, 62940B (7 September 2006); doi: 10.1117/12.674495
Show Author Affiliations
Michael K. Rafailov, Booz Allen Hamilton (United States)


Published in SPIE Proceedings Vol. 6294:
Infrared and Photoelectronic Imagers and Detector Devices II
Randolph E. Longshore; Ashok Sood, Editor(s)

© SPIE. Terms of Use
Back to Top