Bit error simulation for pi/4DQPSK mobile radio communications using two-ray and measurement-based impulse response models

Victor Fung, Theodore S. Rappaport, Berthold Thomas

Research output: Contribution to journalArticle

Abstract

A combination hardware and software simulation technique that allows real-time bit-by-bit error simulation for mobile radio systems is described in this paper. The technique simulates mobile radio communication links and generates average bit error rate (BER) and bit-by-bit error patterns. The hardware simulates bit errors between a data source and sink in real time using the error patterns. Various communication system parameters (e.g., modulation scheme, data rate, signal-to-noise ratio, and receiver speed) and different channel environments (i.e., outdoor and indoor multipath fading channels) may be specified and permit performance comparison. additive white Gaussian noise and co-channel interference effects are also simulate by the software. Using the simulation tool, we studied average BER results for pi/4 DQPSK with Nyquist pulse shaping in indoor and outdoor, flat, and frequency-selective fading channels.

Original languageEnglish (US)
Pages (from-to)393-405
Number of pages13
JournalIEEE Journal on Selected Areas in Communications
Volume11
Issue number3
DOIs
StatePublished - Apr 1993

Fingerprint

Radio communication
Impulse response
Fading channels
Bit error rate
Mobile radio systems
Hardware
Pulse shaping
Frequency selective fading
Multipath fading
Telecommunication links
Signal to noise ratio
Communication systems
Modulation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

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abstract = "A combination hardware and software simulation technique that allows real-time bit-by-bit error simulation for mobile radio systems is described in this paper. The technique simulates mobile radio communication links and generates average bit error rate (BER) and bit-by-bit error patterns. The hardware simulates bit errors between a data source and sink in real time using the error patterns. Various communication system parameters (e.g., modulation scheme, data rate, signal-to-noise ratio, and receiver speed) and different channel environments (i.e., outdoor and indoor multipath fading channels) may be specified and permit performance comparison. additive white Gaussian noise and co-channel interference effects are also simulate by the software. Using the simulation tool, we studied average BER results for pi/4 DQPSK with Nyquist pulse shaping in indoor and outdoor, flat, and frequency-selective fading channels.",
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