Space-Time Array Processing for Radar and Communications

Abstract

We developed a new approach using EM derived algorithms for MLSE over channels having unknown FIR impulse coefficients with known statistics. The ML formulation for optima sequence estimation over random channels is generally intractable to solve directly. However, the EM algorithm is a technique which can effectively be used to solve such intractable ML problems. Specifically, by using EM to marginalize over the channel coefficient distribution, optimal estimates of the transmitted sequence are derived which can achieve lower bit-error-rates than methods which jointly estimate both the transmitted sequence and the channel coefficients, and methods based on first optimally estimating the channel coefficients.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA427560

Entities

People

  • Joseph Teti
  • Kevin Buckley
  • Richard Perry

Organizations

  • Villanova University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Data Association
  • Decoding
  • Detection
  • Detectors
  • Digital Communications
  • Engineering
  • Estimators
  • False Alarms
  • Information Science
  • Intersymbol Interference
  • Multiple Hypothesis Tracking
  • Multiple Targets
  • Multitarget Tracking
  • Signal Processing
  • Statistics
  • Target Tracking

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Radio communications and signal processing.

Technology Areas

  • Space