CODED FREQUENCY SHIFT KEYED SEQUENCES WITH APPLICATIONS TO LOW DATA RATE COMMUNICATION AND RADAR

Abstract

Coded discrete frequency sequences can provide greatly improved performance over conventional techniques when the fluctuation bandwidth of the communication channel is a significant fraction of the transmission bandwidth. These fluctuations result from medium, equipment, and, in the case of radar, random target variations. The ability to reliably detect these sequences under frequency shift is investigated using a simple algorithm to calculate an approximation of the true ambiguity function. This investigation leads to certain necessary conditions and a set of coupled equations which permit a sequence to be synthesized from the ambiguity function approximation. Error rates for CFSK sequences are calculated and criteria for optimizing the performance in rapidly fluctuating channels given. An algorithm for constructing sets of orthogonal sequences with desirable cross-ambiguity properties is developed and the performance of these sets of orthogonal sequences compared with binary code alphabets. Finally, consideration is given to digital and analog implementations of the special receiver required for the CFSK sequences, error correction coding problems associated with M-ary encoding, and acquisition behavior.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1969
Accession Number
AD0702063

Entities

People

  • Michael J. Sites

Organizations

  • Stanford University

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Communication Channels
  • Communication Systems
  • Data Rate
  • Detection
  • Detectors
  • Digital Communications
  • Doppler Effect
  • Electronics
  • Equations
  • Frequency Shift
  • Jet Propulsion
  • Modulation
  • Probability
  • Radar
  • Scattering

Fields of Study

  • Engineering

Readers

  • Computer Programming and Software Development.
  • Radar Systems Engineering.
  • Radio communications and signal processing.