Accession Number:

ADA426470

Title:

Enhancing the Instantaneous Dynamic Range of Electronic Warfare Receivers Using Statistical Signal Processing

Descriptive Note:

Master's thesis Jun 2003-Mar 2004

Corporate Author:

AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING AND MANAGEMENT

Personal Author(s):

Report Date:

2004-03-01

Pagination or Media Count:

121.0

Abstract:

Accurately processing multiple, time-coincident signals presents a challenge to Electronic Warfare EW receivers, especially if the signals are close in frequency andor mismatched in amplitude. The metric that quantifies an EW receivers ability to measure time-coincident signals is the Instantaneous Dynamic Range IDR, defined for a given frequency estimation accuracy, a given frequency separation and a given SNR as the maximum signal amplitude ratio that can be accommodated. Using a two sinusoid time-series model, this thesis analyzes IDR for ideal intercept and parametric digital EW receivers. In general, the number of signals contained in the EW receiver measurement interval is unknown. Thus, the non-parametric Discrete Fourier Transform DFT is employed in an EW intercept receiver with the associated amplitude dependent spectral leakage which limits IDR. A novel method to improve the DFT-based intercept receiver IDR by compensating for the high amplitude signals spectral leakage using computationally efficient 3 bin interpolation algorithms is proposed and analyzed. For a desired frequency estimation accuracy of 1.5 bins, the method achieves an IDR of 57 dB with little frequency separation dependence when the signals are separated by more than 2 bins with a low amplitude signal SNR of 10 dB. For situations where the number of signals contained in the measurement interval is known, the IDR of an Iterative Generalized Least Squares IGLS algorithm-based parametric receiver is analyzed. A real and complex signal IDR Cramer-Rao Bound IDR-CRB is derived for parametric receivers by extending results contained in Rife. For tight frequency estimate requirements these requirements depend on the number of measurement samples, the IDR-CRB yields achievable bounds. For less stringent frequency estimate requirements, the IDR-CRB is unrealistic

Subject Categories:

  • Countermeasures

Distribution Statement:

APPROVED FOR PUBLIC RELEASE