Wideband Signal Detection Using a Down-Converting Channelized Receiver

Abstract

Ultra wideband (UWB) signals typically occupy a very large spectral bandwidth resulting from extremely short duration pulses. Direct sequence spread spectrum (DSSS) signals typically occupy a large spectral bandwidth resulting from spreading methods. Both signals can be difficult to detect without having prior knowledge of their structure and/or existence. This research develops and evaluates techniques for the non-cooperative (non-matched filter) detection of such signals. Impulse-like UWB and DSSS signals are received in an Additive White Gaussian Noise (AWGN) channel and are assessed using a bandpass filtered, down-converting (BPF-D/C) channelized receiver architecture. Modeling and simulation are conducted to characterize BPF-D/C channelized receiver detection performance, which is compared with the performance of two other non-cooperative detection receivers: a previously-introduced down-converting (D/C) channelized receiver and a conventional radiometer. The BPF-D/C channelized receiver detection performance for both signals of interest is shown to depend on the initial phase of the down-conversion mixers. There are usually some combinations of signal-to-noise ratio (SNR) and channel bandwidth where the BPF-D/C channelized receiver outperforms the radiometer and D/C channelized receiver for a UWB pulse. For a DSSS waveform, detection performance using the BPF-D/C channelized receiver is consistently poorer than radiometric detection.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2006
Accession Number
ADA447037

Entities

People

  • Willie H. Mims

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Bandpass Filters
  • Bandwidth
  • Computer Programming
  • Conversion
  • Detection
  • Detectors
  • Electrical Engineering
  • Filters
  • Frequency
  • Matched Filters
  • Pattern Recognition
  • Radio Frequency Filters
  • Signal Detection
  • Signal Processing
  • Simulations
  • Spread Spectrum

Fields of Study

  • Engineering

Readers

  • Radar Systems Engineering.