A GENERALIZED SELF-SURVEY TECHNIQUE FOR SELF-COHERING OF A LARGE ARRAY.

Format:

Book

Thesis/Dissertation

Author/Creator:

LEE, EU-ANNE.

Contributor:

University of Pennsylvania.

Subjects (All):

Electrical engineering.

0544.

Local Subjects:

0544.

Physical Description:

267 pages

Contained In:

Dissertation Abstracts International 42-11B.

System Details:

Mode of access: World Wide Web.

text file

Summary:

This dissertation is devoted to self-cohering of a large, thin, conformal, random array by a generalized self-survey technique. The generalized self-survey technique uses a special radio navigation scheme to determine the unknown (or moving) antenna element locations as well as the unknown beacon locations. Thus this technique possesses direction-finding capability and does not require the beacon location knowledge which is required by previous self-survey techniques and other radio navigation schemes.

The generalized self-survey process solves a set of multi-variable nonlinear equations. The equations are shown to have several degrees of freedom. An appropriate "baseline variables" are therefore defined and measured separately from the self-survey process in order that the computing algorithm produce a unique solution. Numerous computations with the computing algorithm consistently demonstrate good convergence properties. A tolerance analysis shows that the solution produced by the algorithm is relatively insensitive to errors. The tolerance analysis requires an analytical inversion of a matrix of arbitrary dimension. A partitioned matrix inversion method combined with analysis of the special nature of the matrix permits the derivation to be carried out analytically.

The generalized self-survey technique can apply to a ground-based system, a shipboard radar system, a multi-platform array system, a spaceborne antenna system(e.g., Solar Power Satellite system), or an airborne radar system such as the one illustrated in the dissertation.

Notes:

Source: Dissertation Abstracts International, Volume: 42-11, Section: B, page: 4521.

Thesis (Ph.D.)--University of Pennsylvania, 1981.

Local Notes:

School code: 0175.

Access Restriction:

Restricted for use by site license.