Weak-Noise Modulation-Estimation of Vector Parameters

Research output: Contribution to journalArticlepeer-review

Abstract

We address the problem of modulating a parameter onto a power-limited signal, transmitted over a discrete-time Gaussian channel and estimating this parameter at the receiver. Continuing an earlier work, where the optimal trade-off between the weak-noise estimation performance and the outage probability (threshold-effect breakdown) was studied for a single (scalar) parameter, here we extend the derivation of the weak-noise estimation performance to the case of a multi-dimensional vector parameter. This turns out to be a non-trivial extension, that provides a few insights, and it has some interesting implications, which are discussed in depth. Several modifications and extensions of the basic setup are also studied and discussed.

Original languageEnglish
Article number8890878
Pages (from-to)3268-3276
Number of pages9
JournalIEEE Transactions on Information Theory
Volume66
Issue number5
DOIs
StatePublished - May 2020

Keywords

  • Parameter estimation
  • channel capacity
  • modulation
  • quantization
  • threshold effect
  • waveform communication

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

Cite this