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Grozdan V. Petrovic

dblp:20/10936 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1999
—ORCID · none

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

Computer networks · 2

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
2 papers
Physical-layer communications · 89% Vehicular, aerial and satellite networks · 11%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › spread spectrum
code acquisition
0.011999
New PN code acquisition scheme for CDMA networks with low signal-to-noise ratios · IEEE Trans. Commun. 1999
Physical-layer communications
spread spectrum
0.011999
New PN code acquisition scheme for CDMA networks with low signal-to-noise ratios · IEEE Trans. Commun. 1999
Vehicular, aerial and satellite networks
satellite communication
0.011999
New PN code acquisition scheme for CDMA networks with low signal-to-noise ratios · IEEE Trans. Commun. 1999
Physical-layer communications › digital transmission systems
digital communication performance
0.011987
Efficiency of Digital Synchronous Communication Systems · IEEE Trans. Commun. 1987
Physical-layer communications
synchronization
0.011987
Efficiency of Digital Synchronous Communication Systems · IEEE Trans. Commun. 1987

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

recirculation loop · 0.0code diversity · 0.0steady-state analysis · 0.0ergodic analysis · 0.0
YearPublicationVenuePosition
1999 New PN code acquisition scheme for CDMA networks with low signal-to-noise ratios
abstract
A new approach to PN code acquisition is presented and analyzed. A recirculation loop is used to improve probability of synchro cell detection P/sub D/ in each retrace of the code uncertainty region. To further improve P/sub D/ and probability of false alarm P/sub fa/ simultaneously, code diversity (a number of synchro channels in parallel) is used. This is especially effective in the channel with multiple access interference and near-far effect. Typical applications are networks with very low signal-to-noise ratio. Examples are code division multiple access (CDMA) LEO satellite systems experiencing high Doppler or any CDMA network where the number of users is approaching capacity limits. Even if the carrier Doppler is compensated, in any asynchronous LEO satellite network, compensation of code Doppler is not feasible. For this reason, in order to cope with code Doppler (D) and delay (/spl tau/), a modification based on transforming the two-dimensional uncertainty region (D, /spl tau/) into a new uncertainty region (T/sub c/, /spl tau/) will be introduced. Parameter T/sub c/ is the period of the correlation pulses at the output of a sliding correlator. When Doppler rate is present, the three-dimensional uncertainty region (D, R/sub d/, /spl tau/) is transformed into a new one (T/sub c/, R/sub t/, /spl tau/) where R/sub d/ and R/sub t/ are Doppler rate and correlation pulse period change rate, respectively. The main motivation for this work is to find new algorithms suitable for all digital receiver implementation and operation at low signal-to-noise ratios. These algorithms make CDMA techniques feasible for direct communication between LEO satellite and small ground-based user terminals (handsets). A comprehensive performance study of the new PN code acquisition system is presented and discussed. The results obtained demonstrate that, for low signal-to noise ratios, the acquisition time achieved with the new algorithm is one order of magnitude shorter compared with standard techniques known so far.
Savo Glisic, Torsti J. Poutanen, William W. Wu, Grozdan V. Petrovic, Zeljko Stefanovic
IEEE Trans. Commun.4
1987 Efficiency of Digital Synchronous Communication Systems
abstract
A novel criterion for digital synchronous communication system efficiency estimation is defined. All system attributes such as bit error probability, coding efficiency, initial system synchronization time, efficiency of detection of timing anomalies and system sync recovery, reliability of the lock indication, and the amount of redundancy insertion in the data stream for synchronization and error-correcting coding purposes are included in a single parameter called "system efficiency." The expression for this parameter is derived under the assumption of signal ergodicity and steady-state system operation. In its final form, this parameter seems obvious almost by inspection. Even so, until now, it has not been used in the analysis of communication system efficiency. The analysis of this parameter for several different systems is presented as an illustration.
Savo Glisic, Georgije Lukatela, Grozdan V. Petrovic, Dusan Drajic
IEEE Trans. Commun.3