Three solvers for MIMO noise radar clutter cancellation - a performance comparison - Publication - MOST Wiedzy

Search

Three solvers for MIMO noise radar clutter cancellation - a performance comparison

Abstract

The problem of canceling strong clutter echos in a MIMO noise radar is considered. Execution times of three algorithms is compared. The first solution is a standard Least Squares approach employing Cholesky decomposition of the transmitted signal sample autocorrelation matrix. The second approach is based on careful waveform design which guarantees that the signal sample autocorrelation matrix has Toeplitz structure. This enables one to employ the Levinson recursion instead of the Cholesky decomposition. The third approach lies between the first two. It does not employ waveform design but takes advantage of almost Toeplitz structure of the autocorrelation matrix by means of a modified, Levinson-like recursion.

Citations

  • 0

    CrossRef

  • 0

    Web of Science

  • 0

    Scopus

Full text

full text is not available in portal

Details

Category:
Conference activity
Type:
materiały konferencyjne indeksowane w Web of Science
Title of issue:
16th International Radar Symposium (IRS) strony 783 - 788
Language:
English
Publication year:
2015
Bibliographic description:
Meller M..: Three solvers for MIMO noise radar clutter cancellation - a performance comparison, W: 16th International Radar Symposium (IRS), 2015, ,.
DOI:
Digital Object Identifier (open in new tab) 10.1109/irs.2015.7226286
Verified by:
Gdańsk University of Technology

seen 15 times

Recommended for you

Meta Tags