Sensitivity Simulation of Compressed Sensing Based Electronic Warfare Receiver Using Orthogonal Matching Pursuit Algorithm

Abstract

The wideband coverage of the traditional fast Fourier transform (FFT)-based electronic warfare (EW) receiver is limited by the sampling frequency of the analog-to-digital converter (ADC). Compressed sensing (CS) based wideband EW digital receiver has been proposed and under development to process wideband sparse signals with reduced sampling rate. In this study, we calculated the sensitivity of a CS-based EW receiver. Two modulation schemes of CS are used. One is pseudorandom chip (PRC) and the other is non-uniform sampling (NUS) modulation. The orthogonal matching pursuit (OMP) algorithm is used to process CS data. The insufficient nature of the sparcity of the signal adversely affects the signal detection probability for both PRC and NUS modulation schemes. Methods to remedy this problem in both modulation schemes are proposed. The improvement in the signal detection and thus the sensitivity performance of the CS based receiver are presented.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2016
Accession Number
AD1003317

Entities

People

  • Chien-in Chen
  • David C Lin
  • Ethan Lin
  • Lihyeh Liou

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Advanced Electronics
  • Electronic Warfare
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Compressed Sensing
  • Detection
  • Electronic Intelligence
  • Electronic Warfare
  • Frequency
  • Governments
  • Information Operations
  • Information Theory
  • Modulation
  • Probability
  • Probability Density Functions
  • Sampling
  • Signal Detection
  • Signal Processing

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Electronics Engineering
  • Regression Analysis.

Technology Areas

  • Microelectronics