Detection and Avoidance Based on Soft-Spectrum Adaptation of UWB Interference to Existing Radio Systems

2006 IEEE Ninth International Symposium on Spread Spectrum Techniques and Applications ◽

10.1109/isssta.2006.311809 ◽

2006 ◽

Cited By ~ 2

Author(s):

Ryuji Kohno ◽

Ken-ichi Takizawa

Keyword(s):

Soft Spectrum ◽

Radio Systems ◽

Spectrum Adaptation

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Soft-Spectrum Adaptation for Detection and Avoidance of UWB Interference to Existing Radio Systems

Frequenz ◽

10.1515/freq.2006.60.5-6.88 ◽

2006 ◽

Vol 60 (5-6) ◽

Author(s):

Ryuji Kohno ◽

Ken-ichi Takizawa

Keyword(s):

Soft Spectrum ◽

Radio Systems ◽

Spectrum Adaptation

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Analysis the Interference of Soft-Spectrum Adaptation Modulated UWB into IEEE 802.11 a WLAN

2008 Global Symposium on Millimeter Waves ◽

10.1109/gsmm.2008.4534627 ◽

2008 ◽

Author(s):

Changguo Wu ◽

Gangxing Jiang ◽

Hongbo Zhu

Keyword(s):

Ieee 802.11 ◽

Soft Spectrum ◽

Spectrum Adaptation

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Soft-spectrum adaptation in UWB impulse radio

14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003. ◽

10.1109/pimrc.2003.1264279 ◽

2004 ◽

Cited By ~ 5

Author(s):

Honggang Zhang ◽

R. Kohno

Keyword(s):

Impulse Radio ◽

Soft Spectrum ◽

Spectrum Adaptation

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Radio Systems Engineering

10.1017/cbo9781107705852 ◽

2016 ◽

Cited By ~ 19

Author(s):

Steven W. Ellingson

Keyword(s):

Systems Engineering ◽

Radio Systems

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Problem of speech pulling and its implementation for the design of phase-locked SSB radio systems

IEE Proceedings F Communications Radar and Signal Processing ◽

10.1049/ip-f-1.1981.0062 ◽

1981 ◽

Vol 128 (6) ◽

pp. 361 ◽

Cited By ~ 1

Author(s):

J.P. McGeehan ◽

A. Lymer

Keyword(s):

Radio Systems

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Achievable Capacity of Closed/Open-Access Cognitive Radio Systems Coexisting with a Macro Cellular Systems

IEICE Transactions on Communications ◽

10.1587/transcom.e95.b.1190 ◽

2012 ◽

Vol E95-B (4) ◽

pp. 1190-1197

Author(s):

Hiromasa FUJII ◽

Hiroki HARADA ◽

Shunji MIURA ◽

Hidetoshi KAYAMA

Keyword(s):

Cognitive Radio ◽

Open Access ◽

Cellular Systems ◽

Cognitive Radio Systems ◽

Radio Systems ◽

Macro Cellular

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Maximum Likelihood Detection of Random Primary Networks for Cognitive Radio Systems

IEICE Transactions on Communications ◽

10.1587/transcom.e95.b.3365 ◽

2012 ◽

Vol E95.B (10) ◽

pp. 3365-3369

Author(s):

Sunyoung LEE ◽

Kae Won CHOI ◽

Seong-Lyun KIM

Keyword(s):

Cognitive Radio ◽

Maximum Likelihood ◽

Maximum Likelihood Detection ◽

Cognitive Radio Systems ◽

Radio Systems

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Methods of Signal Processing in Radio Systems on the Basis of Scalar Intersection-Integration Algorithms

Telecommunications and Radio Engineering ◽

10.1615/telecomradeng.v67.i17.50 ◽

2008 ◽

Vol 67 (17) ◽

pp. 1571-1583

Author(s):

S. L. Sakharov ◽

R. I. Ryumshin

Keyword(s):

Signal Processing ◽

Radio Systems ◽

Integration Algorithms

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Combined frequency synchronization and detection in cognitive radio systems

Computer Science and Systems Engineering ◽

10.2495/csse140611 ◽

2015 ◽

Author(s):

C. G. Priya ◽

P. G. Selva Priya

Keyword(s):

Cognitive Radio ◽

Frequency Synchronization ◽

Cognitive Radio Systems ◽

Radio Systems

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MODELING OF HIGH FREQUENCY AMPLIFIERS FOR MODERN RADIO SYSTEMS

CAD/EDA, MODELING AND SIMULATION IN MODERN ELECTRONICS: COLLECTION OF SCIENTIFIC PAPERS OF THE III INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE ◽

10.30987/conferencearticle_5e028214dee077.23787773 ◽

2019 ◽

Author(s):

Sergey Chumarov

Keyword(s):

High Frequency ◽

Radio Systems

The modeling features of high-frequency amplifiers are considered. The urgency of the development of such amplifiers is justified and the application areas are indicated. The stages of design of amplifiers are described in detail.

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