New Methods for the Detection and Interception of Frequency-Hopped Waveforms

Abstract

Three new methods for the detection and interception of frequency - hopped waveforms are presented. First presented are two types of sequential detectors: a purely sequential test that requires less data for a decision and a truncated sequential test that requires less data even while opeating under poor signal-to-noise ratios. Performances are evaluated via theoretical, numerical, and Monte Carlo analyses. Second, compressive-receiver-based-based interceptors are presented: (1) a locally optimal detector, which is compared against the optimal channelized detectors; (2) a simplified, suboptimal scheme, which trades off duty cycle against performance; (3) and a technique for estimating hop frequency. Quantified are the performances of the optimal and suboptimal detectors. Third, a detector based on the Amplitude Distribution Function (ADF) is presented. Given is a technique for deconvolving the ADF, enabling signal and noise separation. From this, a detection statistic is defined and statistically characterized, yielding a new class of detectors. The detectors are performance analyzed. Keywords: Spread spectrum, Frequency-hopped, Electronic counter measures, Interception, Probability, Detection, Statistics.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1990
Accession Number
ADA229732

Entities

People

  • W. E. Snelling

Organizations

  • Johns Hopkins University

Tags

Communities of Interest

  • C4I
  • Electronic Warfare
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Bessel Functions
  • Computational Science
  • Computer Science
  • Data Science
  • Distribution Functions
  • Frequency Agility
  • Image Processing
  • Information Processing
  • Information Science
  • Network Science
  • Probability Distributions
  • Random Variables
  • Repetition Rate
  • Signal Detection
  • Sine Waves
  • Stochastic Processes
  • Two Dimensional

Readers

  • Radio communications and signal processing.
  • Statistical inference.

Technology Areas

  • Microelectronics