State Estimation With Coarsely Quantized, High-Data-Rate Measurements

Renwick E. Curry, Pitu Mirchandani, Charles F. Price

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


This paper treats the problem of estimating a signal corrupted by noise that is sampled and quantized at a high data rate. Local and global processors are proposed to achieve data compression that permits near optimal extraction of information. Two techniques-maximum likelihood and minimum transform chi square, which are in the class of best asymptotically normal estimators are investigated for the local processor. Simulation results are presented to demonstrate the feasibility of the approach.

Original languageEnglish (US)
Pages (from-to)613-621
Number of pages9
JournalIEEE Transactions on Aerospace and Electronic Systems
Issue number4
StatePublished - Jul 1975
Externally publishedYes

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering


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