Location of Repository

State Space Direction

By Finding For Wide-Band

Abstract

eld of the array. A natural approach to the wide-band estimation problem is to decompose it into a series of related narrow-band estimation problems. First a finite set of frequencies is selected and after narrow-band filtering, the signal subspaces are estimated in each of these frequency bins. Then the mapping from signal subspaces to directions-of-arrivals is done by optimizing a generalized narrow-band criterion. Examples of such methods are the unit circle eigendecomposition rational signal subspace (UCERSS) algorithm of Su and Morf [104], and the coherent signal subspace (CSS) method of Wang and Kaveh [40, 145]. A disadvantage of these methods is that they utilize only the signal power within individual narrow frequency bins. Therefore, a large number of frequency points may be needed for good estimation accuracy. Furthermore, it is unclear how to select these frequencies if no a priori information of the spectral content of the signals is available. An attractive alternativ

Year: 2007
OAI identifier: oai:CiteSeerX.psu:10.1.1.17.9777
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://tiger.ees.kyushu-u.ac.j... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.