Latency-information theory and applications: Part II. On real-world knowledge aided radar

Erlan H. Feria

doi:10.1117/12.784549

22 April 2008 Latency-information theory and applications: Part II. On real-world knowledge aided radar

Erlan H. Feria

Author Affiliations +

Proceedings Volume 6982, Mobile Multimedia/Image Processing, Security, and Applications 2008; 698211 (2008) https://doi.org/10.1117/12.784549
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

In this second of a multi-paper series latency-information theory (LIT), the integration of information theory with its time dual, i.e., latency theory, is successfully applied to DARPA's knowledge aided sensor signal processing expert reasoning (KASSPER) program. LIT encapsulates the concept of the time dual of a lossy source coder, i.e., a lossy processor coder. A lossy processor coder is a replacement for a signal-processor. This lossy processor coder is faster, simpler to implement, and yields a better performance than the original signal-processor when the processor input appears in a highly compressed-decompressed lossy fashion. In particular, a lossy clutter covariance processor (CCP) architecture is investigated that has successfully replaced KASSPER's originally advanced lossless CCP and enabled its SAR imagery prior knowledge to be highly compressed-decompressed. This result is illustrated with a typical SAR image which is compresseddecompressed by a factor 8,172. Using this image and under severely taxing environmental disturbances outstanding detections are achieved with the lossy CCP. Furthermore, this result is derived with a lossy CCP that is at least five orders of magnitude faster and significantly simpler to implement than the corresponding lossless CCP whose SINR detection performance is nevertheless unsatisfactory. As a final comment it is also observed that LIT illuminates biological system studies since it provides a lossy mechanism that explains how outstanding detections may be arrived at by biological systems that use highly lossy compressed prior knowledge, e.g., when a human expertly detects a face seen only once before even though that face cannot be accurately described prior to such new viewing.

Citation Download Citation

Erlan H. Feria "Latency-information theory and applications: Part II. On real-world knowledge aided radar", Proc. SPIE 6982, Mobile Multimedia/Image Processing, Security, and Applications 2008, 698211 (22 April 2008); https://doi.org/10.1117/12.784549

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