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D. L. Gray

dblp:134/0655 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1966
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Wireless sensing and localization · 50% Physical-layer communications · 50%
Theoretical computer science
1 paper
Mathematical optimization · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › modulation
amplitude modulation
0.011966
Radar signal design subject to simultaneous peak and average power constraints · IEEE Trans. Inf. Theory 1966
Wireless sensing and localization › radar signal processing
radar signal design
0.011966
Radar signal design subject to simultaneous peak and average power constraints · IEEE Trans. Inf. Theory 1966
Mathematical optimization › control theory
optimal control
0.011966
Radar signal design subject to simultaneous peak and average power constraints · IEEE Trans. Inf. Theory 1966
Mathematical optimization › control theory › optimal control
pontryagin's maximum principle
0.011966
Radar signal design subject to simultaneous peak and average power constraints · IEEE Trans. Inf. Theory 1966

Methods — techniques the papers use, named apart from their topics

pontryagin's maximum principle · 0.0calculus of variations · 0.0
YearPublicationVenuePosition
1966 Radar signal design subject to simultaneous peak and average power constraints
abstract
Optimal amplitude modulations for a radar signal are derived and then used to calculate the efficiencies of various sub-optimal modulations. The choice of modulation is constrained by the total energy transmitted and the peak power (amplitude) of the transmitted signal. The peak power constraint is handled by the use of Pontryagin's Maximum Principle, an extension of the calculus of variations recently developed in the U.S.S.R. that is enjoying wide application in optimal control theory. The criterion of optimality is based on the error variances of estimates of the range motion parameters of a reflecting body, where the errors are caused by additive, white, zero mean, Gaussian noise. Explicit results are provided for bodies with constant velocity and bodies with constant acceleration. The analysis covers: 1) incoherent processing of a sequence of many range measurements; 2) coherent processing assuming the RF phase is known, 3) certain aspects of coherent processing assuming the RF phase is unknown. The optimal modulations turn out to be of the "on-off" type, requiring either no transmission or transmission at the maximum allowable power level.
Fred C. Schweppe, D. L. Gray
IEEE Trans. Inf. Theory2