Performance Analysis of Wireless LAN Signals Transmitted Over a Ricean Fading Channel in a Pulsed Noise Interference Environment

Abstract

This thesis examines the performance of the waveforms specified by the IEEE 802.11a wireless local area network standard when the signal is transmitted over a Ricean fading channel with AWGN and pulsed noise interference. The pulsed interference is assumed to have constant average power and is either fading or nonfading. The probability of bit error is conditional on the received signal to noise power ratio, which is modeled as a random variable. The probability density function of this random variable is obtained either analytically or numerically for each modulation type, and the probability of bit error is evaluated as the expected value of the conditional probability. In one case, use is made of a new technique for the numerical inverse of the Laplace transform in order to evaluate numerically the signal to noise ratio probability density function. Due to the complexity of the analysis when both the signal and the interference are subject to Ricean fading, the analysis was simplified by assuming Ricean signal fading with Rayleigh interference fading and vice versa. The results of the analysis show that performance is affected by the degree of signal fading and also depends on the pulsed interference duty cycle. The signal to interference power ratio affects the way performance depends on these two factors.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2004
Accession Number
ADA427289

Entities

People

  • Evangelos Spyrou

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Bessel Functions
  • California
  • Coding
  • Computer Programming
  • Decoding
  • Digital Communications
  • Engineering
  • Information Science
  • Local Area Networks
  • Modulation
  • New York
  • Probability
  • Probability Density Functions
  • Random Variables
  • Stochastic Processes
  • Symbols

Fields of Study

  • Engineering

Readers

  • Fluid Dynamics.
  • Radio communications and signal processing.