Radar waveform synthesis by mean-square optimization techniques

Author

John D. Wolf

Abstract

"The ambiguity function is derived and its properties useful to radar waveform analysis are investigated. Synthesis of the phase-modulated waveform whose ambiguity function is the minimum mean-square estimate of some desired ambiguity function is accomplished by expanding the phase modulation function in an orthogonal series. The ambiguity function, defined as a magnitude, and the value of an arbitrary cost functional defined on the ([tau],w_d) plane is then expressed in terms of the coefficients of the orthogonal series. thus, the "optimum" waveform can be determined by solving the variational equations for the coefficients. Numerical examples are presented for the case where it is desired to minimize the mean-square difference of a desired ambiguity function, X([tau],w_d), for some region of the ([tau],w_d) plane"--Abstract, page ii.

Advisor(s)

Betten, J. Robert

Committee Member(s)

Noack, Thomas L.
Wright, F. T.

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Publisher

University of Missouri at Rolla

Publication Date

1968

Pagination

v, 66 pages

Note about bibliography

Includes bibliographical references (page 56).

Rights

© 1968 John D. Wolf, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

RadarMathematical optimizationCathode ray oscillographs

Thesis Number

T 2097

Print OCLC #

5995313

Electronic OCLC #

835137500

Recommended Citation

Wolf, John D., "Radar waveform synthesis by mean-square optimization techniques" (1968). Masters Theses. 7000.
https://scholarsmine.mst.edu/masters_theses/7000