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Brad A. Hedstrom

dblp:118/6825 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1996
—ORCID · none

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

Computer networks · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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
Physical-layer communications · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › signal processing for communications › signal separation
co-channel signal separation
0.011996
Co-channel signal separation using coupled digital phase-locked loops · IEEE Trans. Commun. 1996
Physical-layer communications › synchronization
phase-locked loop
0.011996
Co-channel signal separation using coupled digital phase-locked loops · IEEE Trans. Commun. 1996
Physical-layer communications › signal processing for communications
signal separation
0.011996
Co-channel signal separation using coupled digital phase-locked loops · IEEE Trans. Commun. 1996

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

state observability analysis · 0.0extended kalman filter · 0.0
YearPublicationVenuePosition
1996 Co-channel signal separation using coupled digital phase-locked loops
abstract
Discrete time state-space models for multiple source frequency modulated communications environments are developed and coupled digital phase-locked loop (CDPLL) estimator structures are derived based on the extended Kalman filter (EKF). Unlike related efforts found in the literature, the receiver presented includes both passband and baseband coupling between the DPLLs. Separability of two sources is investigated by examination of state observability and by simulations of the derived estimators. The relationship between the EKF and the CDPLL is presented and their linear and nonlinear behavior discussed. As the CDPLLs exhibit chaotic behavior during acquisition and cannot be linearized during tracking, acquisition and tracking characteristics are extracted from simulations. One simulation result is the effect of state observability on the coupling between the DPLLs; when the states are "strongly" observable, the states are not as tightly coupled. It is also shown that the loop bandwidths decrease during periods of "weak" observability.
Brad A. Hedstrom, R. Lynn Kirlin
IEEE Trans. Commun.1
1993 A computer-oriented random processes course for a mix of graduates and undergraduates
R. Lynn Kirlin, Brad A. Hedstrom
ICASSP (1)2