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Pekka Lilja

dblp:02/586 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none

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

Computer networks · 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 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › spread spectrum
code acquisition
0.112008
Serial search code acquisition using smart antennas with single correlator or matched filter · IEEE Trans. Commun. 2008
Physical-layer communications › spread spectrum › code acquisition
serial search
0.112008
Serial search code acquisition using smart antennas with single correlator or matched filter · IEEE Trans. Commun. 2008
Physical-layer communications › antenna arrays
smart antennas
0.112008
Serial search code acquisition using smart antennas with single correlator or matched filter · IEEE Trans. Commun. 2008
Physical-layer communications
spread spectrum
0.112008
Serial search code acquisition using smart antennas with single correlator or matched filter · IEEE Trans. Commun. 2008
Physical-layer communications
beamforming
0.012008
Serial search code acquisition using smart antennas with single correlator or matched filter · IEEE Trans. Commun. 2008
Physical-layer communications › signal processing for communications › array signal processing
direction-of-arrival estimation
0.012008
Serial search code acquisition using smart antennas with single correlator or matched filter · IEEE Trans. Commun. 2008

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

matched filter · 0.1correlator · 0.1beamforming · 0.1
YearPublicationVenuePosition
2008 Serial search code acquisition using smart antennas with single correlator or matched filter
abstract
This paper investigates three code acquisition methods for direct sequence spread spectrum systems (DS/SS) utilizing smart antennas. The methods are suitable especially for receivers that consist of a smart antenna followed by a single correlator or a matched filter (IMF). The first method is the known fixed beam strategy where the whole angular uncertainty region is divided into small cells using conventional beamforming techniques. Therein, the receiver searches through all angular and delay cells via a serial search procedure. In the second method, the fixed division is made using advanced beamforming techniques, which provide improved tolerance against interference. In the third strategy, the direction-of-arrival (DOA) of incoming signals are estimated and utilized in the acquisition process. An advantage of this DOA estimation-based strategy, when compared to fixed beamforming methods, is a decrease in the region of uncertainty. Disadvantages are increased computational complexity and signal-to-noise ratio (SNR) limitations. The acquisition strategies are compared when the serial search acquisition of the code phase is made using either the correlator or the matched filter. The results indicate that a single antenna receiver gives the best acquisition performance when SNR is high. However, single antenna methods are sensitive to interference. On the other hand, DOA estimation-based methods offer shorter mean acquisition times than fixed beam methods, especially when the number of arriving signals is small.
Henri Puska, Harri Saarnisaari, Jari H. Iinatti, Pekka Lilja
IEEE Trans. Commun.4
2007 Synchronization Probabilities using Conventional and MVDR Beam Forming with DOA Errors
abstract
In this paper, code synchronization probabilities of the direct sequence spread spectrum (DS/SS) system are investigated when the receiver utilizes an adaptive antenna array. Performance studies of three beam forming algorithms in the presence of direction-of-arrival (DOA) errors are presented. The investigated algorithms are the conventional, the minimum variance distortionless response (MVDR), and the MVDR+ADL where the MVDR algorithm is enhanced against DOA error via the adaptive diagonal loading (ADL). The paper includes a large number of analytical and simulation results where the effects of DOA errors are investigated. It can be concluded that the MVDR beam former is more sensitive to DOA errors than the conventional beam former, especially, at large DOA errors and high signal-to-noise-ratio (SNR) values. However, this sensitivity can be reduced notably by using the ADL.
Henri Puska, Harri Saarnisaari, Jari H. Iinatti, Pekka Lilja
PIMRC4