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July 2007
Yonghong Zeng, Insitute for Infocomm Research
Slide 1
doc.: IEEE 802.22-07/0325r0
Submission
Simulations for wireless microphone detection by eigenvalue and covariance based methods
IEEE P802.22 Wireless RANs Date: 2007-07-06
Name Company Address Phone email Yonghong Zeng Institute for
Infocomm Research 21 Heng Mui Keng Terrace, Singapore 119613
65-68748211 [email protected]
Ying-Chang Liang Institute for Infocomm Research
21 Heng Mui Keng Terrace, Singapore 119613
65-68748225 [email protected]
Authors:
Notice: This document has been prepared to assist IEEE 802.22. It is offered as a basis for discussion and is not binding on the contributing individual(s) or organization(s). The material in this document is subject to change in form and content after further study. The contributor(s) reserve(s) the right to add, amend or withdraw material contained herein.
Release: The contributor grants a free, irrevocable license to the IEEE to incorporate material contained in this contribution, and any modifications thereof, in the creation of an IEEE Standards publication; to copyright in the IEEE’s name any IEEE Standards publication even though it may include portions of this contribution; and at the IEEE’s sole discretion to permit others to reproduce in whole or in part the resulting IEEE Standards publication. The contributor also acknowledges and accepts that this contribution may be made public by IEEE 802.22.
Patent Policy and Procedures: The contributor is familiar with the IEEE 802 Patent Policy and Procedures http://standards.ieee.org/guides/bylaws/sb-bylaws.pdf including the statement "IEEE standards may include the known use of patent(s), including patent applications, provided the IEEE receives assurance from the patent holder or applicant with respect to patents essential for compliance with both mandatory and optional portions of the standard." Early disclosure to the Working Group of patent information that might be relevant to the standard is essential to reduce the possibility for delays in the development process and increase the likelihood that the draft publication will be approved for publication. Please notify the Chair Carl R. Stevenson as early as possible, in written or electronic form, if patented technology (or technology under patent application) might be incorporated into a draft standard being developed within the IEEE 802.22 Working Group. If you have questions, contact the IEEE Patent Committee Administrator at [email protected].>
July 2007
Yonghong Zeng, Insitute for Infocomm Research
Slide 2
doc.: IEEE 802.22-07/0325r0
Submission
Microphone signals
• Type1: simulated soft speaker, signal at origin• Type2: simulated soft speaker, signal at other
frequency• Type3: silent wireless microphone speaker, signal at
origin• Type4: silent wireless microphone speaker, signal at
other frequency• Type5: simulated loud speaker, signal at origin• Type6: simulated loud speaker, signal at other
frequency
The power spectral density (PSD) of the signals are shown below, where the unit for x-axis is MHz
July 2007
Yonghong Zeng, Insitute for Infocomm Research
Slide 3
doc.: IEEE 802.22-07/0325r0
Submission
Signal type 1
July 2007
Yonghong Zeng, Insitute for Infocomm Research
Slide 4
doc.: IEEE 802.22-07/0325r0
Submission
Signal type 2
July 2007
Yonghong Zeng, Insitute for Infocomm Research
Slide 5
doc.: IEEE 802.22-07/0325r0
Submission
Signal type 3
July 2007
Yonghong Zeng, Insitute for Infocomm Research
Slide 6
doc.: IEEE 802.22-07/0325r0
Submission
Signal type 4
July 2007
Yonghong Zeng, Insitute for Infocomm Research
Slide 7
doc.: IEEE 802.22-07/0325r0
Submission
Signal type 5
July 2007
Yonghong Zeng, Insitute for Infocomm Research
Slide 8
doc.: IEEE 802.22-07/0325r0
Submission
Signal type 6
July 2007
Yonghong Zeng, Insitute for Infocomm Research
Slide 9
doc.: IEEE 802.22-07/0325r0
Submission
Settings and procedures for the simulations
• Generate signals at baseband and sample the signal with sampling rate 12 MHz
• Filter the signal with a low-pass filter with 6 MHz bandwidth• Pass the signal through a multipath simulator (Rayleigh
fading with 5 taps (equal power profile))• Generate white noise (sampling rate 12 MHz)• Filter the white noise with the low-pass filter with 6 MHz
bandwidth• Add the signal and scaled noise• Down-sample (decimate) the signal by a factor 2• Use the eigenvalue and covariance based methods for
detection (L=10)
July 2007
Yonghong Zeng, Insitute for Infocomm Research
Slide 10
doc.: IEEE 802.22-07/0325r0
Submission
Notations
• Pd: probability of detection• Pfa: probability of false alarm• MME: maximum-minimum eigenvalue detection• EME: energy to minimum eigenvalue detection• EG-0dB: energy detection with 0 dB noise uncertainty
(no noise uncertainty, ideal case)• CAV: covariance absolute value detection• CFN: covariance Frobenius norm detection
In the following, Pfa=0.1 for all cases
July 2007
Yonghong Zeng, Insitute for Infocomm Research
Slide 11
doc.: IEEE 802.22-07/0325r0
Submission
Pd for eigenvalue based methods (sensing time 4ms, Pfa=0.1): type 1 and 2
July 2007
Yonghong Zeng, Insitute for Infocomm Research
Slide 12
doc.: IEEE 802.22-07/0325r0
Submission
Pd for eigenvalue based methods (sensing time 4ms, Pfa=0.1): type 3 and 4
July 2007
Yonghong Zeng, Insitute for Infocomm Research
Slide 13
doc.: IEEE 802.22-07/0325r0
Submission
Pd for eigenvalue based methods (sensing time 4ms, Pfa=0.1): type 5 and 6
July 2007
Yonghong Zeng, Insitute for Infocomm Research
Slide 14
doc.: IEEE 802.22-07/0325r0
Submission
Pd for eigenvalue based methods (sensing time 10ms, Pfa=0.1): type 2
July 2007
Yonghong Zeng, Insitute for Infocomm Research
Slide 15
doc.: IEEE 802.22-07/0325r0
Submission
Pd for eigenvalue based methods (sensing time 10ms, Pfa=0.1): type 4
July 2007
Yonghong Zeng, Insitute for Infocomm Research
Slide 16
doc.: IEEE 802.22-07/0325r0
Submission
Pd for eigenvalue based methods (sensing time 10ms, Pfa=0.1): type 6
July 2007
Yonghong Zeng, Insitute for Infocomm Research
Slide 17
doc.: IEEE 802.22-07/0325r0
Submission
Pd for covariance based methods (sensing time 4ms, Pfa=0.1): type 2
July 2007
Yonghong Zeng, Insitute for Infocomm Research
Slide 18
doc.: IEEE 802.22-07/0325r0
Submission
Pd for covariance based methods (sensing time 4ms, Pfa=0.1): type 4
July 2007
Yonghong Zeng, Insitute for Infocomm Research
Slide 19
doc.: IEEE 802.22-07/0325r0
Submission
Pd for covariance based methods (sensing time 4ms, Pfa=0.1): type 6
July 2007
Yonghong Zeng, Insitute for Infocomm Research
Slide 20
doc.: IEEE 802.22-07/0325r0
Submission
Pd for covariance based methods (sensing time 10ms, Pfa=0.1): type 2
July 2007
Yonghong Zeng, Insitute for Infocomm Research
Slide 21
doc.: IEEE 802.22-07/0325r0
Submission
Pd for covariance based methods (sensing time 10ms, Pfa=0.1): type 4
July 2007
Yonghong Zeng, Insitute for Infocomm Research
Slide 22
doc.: IEEE 802.22-07/0325r0
Submission
Pd for covariance based methods (sensing time 10ms, Pfa=0.1): type 6
July 2007
Yonghong Zeng, Insitute for Infocomm Research
Slide 23
doc.: IEEE 802.22-07/0325r0
Submission
Summary
method 4ms 10ms
MME -21.0dB -23.1dB
EME -16.4dB -18.4dB
CAV -20.8 -22.8
CFN -20.8 -22.8
EG-0dB -17.7 -19.7
The following table gives the required SNR to meet Pd=0.9 and Pfa=0.1 (average on the 6 types of signals)
July 2007
Yonghong Zeng, Insitute for Infocomm Research
Slide 24
doc.: IEEE 802.22-07/0325r0
Submission
References
1. Steve Shellhammer et al., “Spectrum sensing simulation model”, http://grouper.ieee.org/groups/802/22/Meeting_documents/2006_July/22-06-0028-07-0000-Spectrum-Sensing-Simulation-Model.doc, July 2006.
2. Chris Clanton, Mark Kenkel and Yang Tang, “Wireless Microphone Signal Simulation Method,” IEEE 802.22-07/0124r0, March 2007.
3. Yonghong Zeng and Ying-Chang Liang, “Maximum-minimum eigenvalue detection for cognitive radio”, IEEE PIMRC, 2007.
4. Yonghong Zeng and Ying-Chang Liang, “Covariance based signal detections for cognitive radio”, IEEE DySpan, 2007.
5. Yonghong Zeng and Ying-Chang Liang, “Eigenvalue based sensing algorithms”, http://grouper.ieee.org/groups/802/22/Meeting_documents/2006_July/22-06-0118-00-0000_I2R-sensing.doc
6. Yonghong Zeng and Ying-Chang Liang, “Covariance based sensing algorithms for detection of DTV and wireless microphone signals”, http://grouper.ieee.org/groups/802/22/Meeting_documents/2006_Nov/22-06-0187-01-0000_I2R-sensing-2.ppt
7. Yonghong Zeng and Ying-Chang Liang, “Updates on the covariance based and eigenvalue based sensing algorithms”, http://grouper.ieee.org/groups/802/22/Meeting_documents/2007_Mar/22-06-0187-03-0000_I2R-update.ppt
