Demo Data from EDBT 2026 / reviewers in the wild / expert
Jerome A. Gansman
dblp:86/4740
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 2000
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 3 · 2 first-author
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 · 93% Cellular and mobile networks · 7% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › synchronization
frame synchronization |
0.0 | 1 | 1997 | Optimum and suboptimum frame synchronization for pilot-symbol-assisted modulation · IEEE Trans. Commun. 1997 |
Physical-layer communications › channel estimation
maximum likelihood estimation |
0.0 | 1 | 1997 | Optimum and suboptimum frame synchronization for pilot-symbol-assisted modulation · IEEE Trans. Commun. 1997 |
Physical-layer communications › channel estimation
pilot symbol assisted modulation |
0.0 | 1 | 1997 | Optimum and suboptimum frame synchronization for pilot-symbol-assisted modulation · IEEE Trans. Commun. 1997 |
Physical-layer communications
synchronization |
0.0 | 1 | 1997 | Optimum and suboptimum frame synchronization for pilot-symbol-assisted modulation · IEEE Trans. Commun. 1997 |
Methods — techniques the papers use, named apart from their topics
sequential testing · 0.0quadratic correlation filter · 0.0maximum likelihood estimation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | A Study of Non-Uniform Pilot Spacing for PSAMabstractPilot symbol assisted modulation (PSAM) achieves coherent demodulation in a fading environment by inserting known symbols into the data stream. The receiver uses these pilot symbols to estimate its amplitude and phase reference. Although the pilots are typically spaced uniformly, adding extra consecutive pilot symbols allows one to estimate a large frequency offset on the channel. This work uses computer simulations to investigate the bit error probability (BEP) of PSAM with various non-uniform frame structures. It is shown that for higher Doppler rates, a non-uniform frame structure yields a lower BEP than a comparable uniform frame. Furthermore, in the presence of an unknown frequency offset, a non-uniform frame performs much better because it can estimate and remove the frequency offset prior to compensating for the fading process. Herman Lo, Diane Lee, Jerome A. Gansman |
ICC (1) | 3 |
| 2000 | Further synchronization results for PSAM systemsabstractThis paper investigates the affect of a frequency offset on the bit error probability of pilot symbol assisted modulation in frequency non-selective slow Rayleigh fading. Traditionally, the Wiener filter is designed to estimate both the fading induced multiplicative distortion and the frequency offset. However, it is shown that altering the frame structure to include consecutive pilot symbols and compensating for the frequency offset prior to Wiener filtering greatly improves the system performance. Jerome A. Gansman, Herman Lo, Diane Lee |
WCNC | 1 |
| 1997 | Optimum and suboptimum frame synchronization for pilot-symbol-assisted modulationabstractPilot-symbol-assisted modulation (PSAM) is a method to reduce the effects of fading in mobile communications by periodically inserting known symbols in the data stream. The receiver uses these pilot symbols to derive its amplitude and phase reference. One aspect of this procedure which has not received much attention in the literature is the method used by the receiver to locate the pilot symbols. This paper uses optimum frame synchronization techniques to develop two synchronizers for PSAM systems; one is based on a standard maximum likelihood (ML) estimation formulation, and the other is a sequential testing algorithm. Both methods use a simple quadratic correlation filter with an energy correction factor. Simulation results and a theoretical analysis are presented. Jerome A. Gansman, Michael P. Fitz, James V. Krogmeier |
IEEE Trans. Commun. | 1 |