Experimental Results: Detection and Tracking of Low SNR Sinusoids Using Real-Time LMS and RLS Lattice Adaptive Line Enhancers.

Abstract

The structure traditionally used in Adaptive Line Enhancer (ALE) applications is the transversal filter form of Widrow's Least Mean Square (LMS) algorithm. It has been reasoned that an ALE implemented with the Recursive Least Squares Lattice (RLS Lattice) Algorithm may offer advantages over LMS implementations. The expected advantages include faster convergence, improved tracking of dynamic signals, and reduced sensitivity to eigenvalue spread of the input data's correlation matrix. The work reported in this paper is a comparison of the detection and tracking performance of ALEs implemented with the traditional LMS Transversal and the RLS Lattice algorithms. The comparison is based on experimental results obtained from a real time custom hardware system using 32-bit IEEE floating point format operating on stationary and non- stationary sinusoids with added broadband noise.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1991
Accession Number
ADA240245

Entities

People

  • Hana Abusalem
  • Michael D. Juniper
  • Terence R. Albert

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Adaptive Filters
  • Algorithms
  • Broadband
  • Convergence
  • Detection
  • Filters
  • Gain
  • Measurement
  • Narrowband
  • Noise
  • Noise Reduction
  • Security
  • Signal Processing
  • Spectra
  • Spectrum Analyzers
  • Stationary
  • White Noise

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Graph Algorithms and Convex Optimization.
  • Systems Analysis and Design