SNIR estimation and statistics for DS-SS CDMA communications

  • Authors:

  • David W. Matolak;Amit Gupta

  • Affiliations:

  • School of Electrical Engineering & Computer Science, Ohio University, Athens, OH;School of Electrical Engineering & Computer Science, Ohio University, Athens, OH

  • Venue:
  • MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume II
  • Year:
  • 2003

Quantified Score

Hi-index 0.00

Visualization

Abstract

Estimation of signal quality is critical in high-capacity spread spectrum systems for several reasons, e.g., power control and multi-user detection. In some techniques, signal amplitude is used as the measure of signal quality, but this is not as good a measure as the signal-to-noise-plus-interference ratio (SNIR). In this work we investigate several SNIR estimators based upon correia tor outputs, and show by simulation that they are both accurate in terms of estimating bit error probability, and rapid in that only several tens of bits are required. We also derive the SNIR probability density function for the equal-received-energy case and validate it by computer simulations.