Accession Number:

ADA517361

Title:

Analysis of Parametric Adaptive Signal Detection with Applications to Radars and Hyperspectral Imaging

Descriptive Note:

Final rept. 16 Dec 2004-15 Feb 2010

Corporate Author:

STEVENS INST OF TECH HOBOKEN NJ DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE

Personal Author(s):

Report Date:

2010-02-01

Pagination or Media Count:

138.0

Abstract:

New parametric space-time adaptive processing STAP based detectors are introduced and examined. Unlike conventional techniques that estimate the characteristics of the disturbance from only the secondary data, the proposed detectors obtain such knowledge jointly from the primary and secondary data. When the number of pulses within a coherent processing interval is sufficiently large, the proposed detectors can function even without any secondary data, making them strong candidates for detection in non-homogeneous environments. The proposed detectors are investigated by both theoretical analysis and numerical study using simulated and real radar data. Extensive comparison with conventional STAP methods shows that the proposed detectors can better deal with training-limited scenarios while being computationally simpler. The proposed techniques are also extended for target detection in hyperspectral imaging HSI.

Subject Categories:

  • Numerical Mathematics
  • Active and Passive Radar Detection and Equipment
  • Target Direction, Range and Position Finding
  • Atomic and Molecular Physics and Spectroscopy

Distribution Statement:

APPROVED FOR PUBLIC RELEASE