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Matthew W. Ganz

dblp:125/0922 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1989
—ORCID · none

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

Computer networks · 2 · 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
2 papers
Physical-layer communications · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › antenna arrays
adaptive antenna array
0.021989
A data-derived reference signal technique for adaptive arrays · IEEE Trans. Commun. 1989
Protection of a Narrow-Band BPSK Communication System with an Adaptive Array · IEEE Trans. Commun. 1987
Physical-layer communications › modulation
frequency-shift keying
0.011989
A data-derived reference signal technique for adaptive arrays · IEEE Trans. Commun. 1989
Physical-layer communications › interference
continuous wave interference
0.011987
Protection of a Narrow-Band BPSK Communication System with an Adaptive Array · IEEE Trans. Commun. 1987
Physical-layer communications
interference suppression
0.011987
Protection of a Narrow-Band BPSK Communication System with an Adaptive Array · IEEE Trans. Commun. 1987
Physical-layer communications › error probability analysis
bit error probability analysis
0.011987
Protection of a Narrow-Band BPSK Communication System with an Adaptive Array · IEEE Trans. Commun. 1987

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

reference signal prediction · 0.0markov source encoding · 0.0pulse shaping · 0.0optimal detection · 0.0
YearPublicationVenuePosition
1989 A data-derived reference signal technique for adaptive arrays
abstract
A new technique is presented for reference signal generation in adaptive arrays, and it is shown how it can be used in a binary FSK communication system. This method consists of encoding the message bit stream at the transmitter to convert it to a first-order Markov source with a transition probability of p>1/2. Then, in the receiver, each detected bit is used to predict the next bit, and the predicted bits are used to generate a reference signal. The performance of an FSK system based on this concept is analyzed, and an experimental system is described. This experimental system demonstrated that the reference signal generation concept is feasible and showed that this technique could be used to protect an FSK communication system from a CW interference signal.>
Matthew W. Ganz, R. Theodore Compton Jr.
IEEE Trans. Commun.1
1987 Protection of a Narrow-Band BPSK Communication System with an Adaptive Array
abstract
This paper describes the performance of an adaptive array when used with narrow-band BPSK communication signals; A previous paper [11] described the performance of an adaptive array with a standard BPSK signal when the array bandwidth is several times the signal bandwidth. These earlier results are extended to the case where the array bandwidth is as small as possible, equal to the desired signal symbol rate. To realize such a bandwidth reduction, it is necessary to reshape the BPSK signaling waveform before transmission to prevent intersymbol interference. This is done by passing the BPSK signal through a pulseshaping filter at the transmitter. The performance of the optimal detector for the narrow-band BPSK signal is determined when this detector operates behind an adaptive array that is subjected to CW interference. The bit error probability is obtained as a function of the desired signal and interference powers and arrival angles as well as the array bandwidth.
Matthew W. Ganz, R. Theodore Compton Jr.
IEEE Trans. Commun.1