Degree of polarization detection: a dual‐polarized antenna based spectrum sensing algorithm for cognitive radio1. (25th April 2013)
- Record Type:
- Journal Article
- Title:
- Degree of polarization detection: a dual‐polarized antenna based spectrum sensing algorithm for cognitive radio1. (25th April 2013)
- Main Title:
- Degree of polarization detection: a dual‐polarized antenna based spectrum sensing algorithm for cognitive radio1
- Authors:
- Lin, Lin
Guo, Caili
Feng, Chunyan - Abstract:
- <abstract abstract-type="main" id="dac2549-abs-0001"> <title>SUMMARY</title> <p id="dac2549-para-0005">A new spectrum sensing algorithm‐degree of polarization (DoP) sensing algorithm is proposed in this paper. By exploiting a pair of dual‐polarized antenna at the receiver, DoP of the received vector signal is estimated and utilized to detect the presence of primary users based on the polarization characteristics of electromagnetic waves. The dual‐polarized narrowband and broadband systems are both considered for DoP detection. In theoretical analysis, we derive the probability of detection, the probability of false and detection threshold of the proposed algorithm. It is shown that our algorithm overcomes the noise uncertainty problem. Considering the polarization‐sensitive channel impairments, the impact of polarization mode dispersion on DoP detector is discussed. This method can be utilized for various signal detection applications without requiring the knowledge of signal, transmission channel, and noise power. In simulations based on wireless microphone signals, by applying polarization information signal carries, DoP achieves a better detection performance than arithmetic‐to‐geometric mean detector, the maximum‐to‐minimum ratio eigenvalue detector, and energy detector with noise uncertainty. The simulations based on digital video broadcasting‐terrestrial signals are also presented, which may show the detection performance of the proposed method may be affected by<abstract abstract-type="main" id="dac2549-abs-0001"> <title>SUMMARY</title> <p id="dac2549-para-0005">A new spectrum sensing algorithm‐degree of polarization (DoP) sensing algorithm is proposed in this paper. By exploiting a pair of dual‐polarized antenna at the receiver, DoP of the received vector signal is estimated and utilized to detect the presence of primary users based on the polarization characteristics of electromagnetic waves. The dual‐polarized narrowband and broadband systems are both considered for DoP detection. In theoretical analysis, we derive the probability of detection, the probability of false and detection threshold of the proposed algorithm. It is shown that our algorithm overcomes the noise uncertainty problem. Considering the polarization‐sensitive channel impairments, the impact of polarization mode dispersion on DoP detector is discussed. This method can be utilized for various signal detection applications without requiring the knowledge of signal, transmission channel, and noise power. In simulations based on wireless microphone signals, by applying polarization information signal carries, DoP achieves a better detection performance than arithmetic‐to‐geometric mean detector, the maximum‐to‐minimum ratio eigenvalue detector, and energy detector with noise uncertainty. The simulations based on digital video broadcasting‐terrestrial signals are also presented, which may show the detection performance of the proposed method may be affected by polarization mode dispersion. Copyright © 2013 John Wiley &amp; Sons, Ltd.</p> </abstract> … (more)
- Is Part Of:
- International journal of communication systems. Volume 27:Number 11(2014:Nov.)
- Journal:
- International journal of communication systems
- Issue:
- Volume 27:Number 11(2014:Nov.)
- Issue Display:
- Volume 27, Issue 11 (2014)
- Year:
- 2014
- Volume:
- 27
- Issue:
- 11
- Issue Sort Value:
- 2014-0027-0011-0000
- Page Start:
- 3399
- Page End:
- 3415
- Publication Date:
- 2013-04-25
- Subjects:
- Telecommunication systems -- Periodicals
621.382 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/dac.2549 ↗
- Languages:
- English
- ISSNs:
- 1074-5351
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.172515
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 3790.xml