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Evaluation of Sensing Schemes with Real Signals

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1 Evaluation of Sensing Schemes with Real Signals
Month Year doc.: IEEE yy/xxxxr0 July 2006 Evaluation of Sensing Schemes with Real Signals IEEE P Wireless RANs Date: Authors: Notice: This document has been prepared to assist IEEE 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 Patent Policy and Procedures: The contributor is familiar with the IEEE 802 Patent Policy and Procedures 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 Working Group. If you have questions, contact the IEEE Patent Committee Administrator at > Soo-Young Chang, Huawei John Doe, Some Company

2 July 2006 REAL SIGNAL FILES USED The real DTV signal files adopted for this evaluation NYC_200_44_ _dbt1 NYC_200_56_ _dbt2 Soo-Young Chang, Huawei

3 EVALUATION OVERVIEW The following figures are evaluation results with
July 2006 EVALUATION OVERVIEW The following figures are evaluation results with With different signals Randomly generated signals Real signals provided by Victor Tawil from MSTV For different sensing schemes Huawei spectral correlation scheme MRSS Cyclostationary feature detection To see the figures better, two representation methods to represent the probabilities of misdetection were adopted. One is linear representation which is the same method as before. The other is representation with the logarithmic scale. Soo-Young Chang, Huawei

4 July 2006 READING DTV SIGNALS The method proposed by Steve Shellhammer from Quacomm to obtain real DTV signals. This method can be expressed as: fid = fopen('NYC_200_44_ _dbt1', 'r'); x = fread(fid, 1000, 'short'); fclose(fid); This Matlab code can obtain 1000 DTV signal samples. If we need more samples, this number can be changed to any number we want. Soo-Young Chang, Huawei

5 EVALUATION PARAMETERS
July 2006 EVALUATION PARAMETERS Parameters according to 22 sensing simulation models Sensing time: 1/3ms; BW=6MHz Noise Power: Pn= log(BW)+11= log(BW) dBm Signal Power Ps: [-81.5:-0.5:106]dBm Select a value of signal-to-noise. This needs to be varied over a range of values which result in the probabilities of misdetection near one to zero. SNR in dB=Ps-Pn=[-14.5:0.5:10]dB For each of 50 signals, the signal power is scaled so that the SNR is the value specified. Generate 1000 realizations of the AWGN and run the simulations for each sensor. Repeat this process for all 50 signals. Hence there should be N=50,000simulations. Let N0 be the number of times the signal was not detected. Then the probability of misdetection is, PMD=N0/N; Probability of false alarm: 1 % and 10% FFT size: 2048 Soo-Young Chang, Huawei

6 SIMULATION RESULTS WITH RANDON SIGNALS 1
July 2006 SIMULATION RESULTS WITH RANDON SIGNALS 1 Huawei scheme Sensing time: 1/3ms; BW=6MHz Signal Power: [-75:-0.5:99.5]dBm Probability of false alarm: 1 % and 10% Noise Power: ­163+10log(BW) FFT size: 2048 For various no of points for correlation calculation Soo-Young Chang, Huawei

7 SIMULATION RESULT WITH RANDOM SIGNALS 2
July 2006 SIMULATION RESULT WITH RANDOM SIGNALS 2 Huawei scheme Sensing time = 2ms BW=6MHz Signal Power: [-75:-0.5:99.5] dBm Probability of false alarm: 1 % and 10% Noise Power: ­163+10log(BW) FFT size: 2048 For various no of points for correlation calculation Soo-Young Chang, Huawei

8 July 2006 EVALUATION 1 Figs 1 and 2: Performance comparison between random signals and real signals under different false alarm probabilities for Huawei scheme Evaluation parameters for the sensing scheme sensing time T = 1/3ms, Number of points for correlation calculations = 50. Total sensing time=30 minutes accumulated Soo-Young Chang, Huawei

9 EVALUATION 1 (cont’d) Fig 1:
July 2006 EVALUATION 1 (cont’d) Fig 1: Performance comparison between random signals and real signals under different false probabilities for Huawei proposal (linear vertical axis) Soo-Young Chang, Huawei

10 EVALUATION 1 (cont’d) Fig 2:
Month Year doc.: IEEE yy/xxxxr0 July 2006 EVALUATION 1 (cont’d) Fig 2: Performance comparison between random signals and real signals under different false probabilities for Huawei proposal (logarithmic vertical axis) Soo-Young Chang, Huawei John Doe, Some Company

11 July 2006 EVALUATION 2 Figs 3 and 4: Performance comparison between Huawei scheme and other schemes under different false probabilities of false alarm for randomly generated signals Evaluation parameters for Huawei scheme sensing time T = 1/3ms, Number of points for correlation calculations = 50. Soo-Young Chang, Huawei

12 EVALUATION 2 (cont’d) Fig 3:
July 2006 EVALUATION 2 (cont’d) Fig 3: Performance comparison between Huawei scheme and other schemes under different probabilities of false alarm for random signals (linear vertical axis) Soo-Young Chang, Huawei

13 Month Year doc.: IEEE yy/xxxxr0 July 2006 EVALUATION 2 (cont’d) Fig 4: Performance comparison between Huawei scheme and other schemes under different probabilities of false alarm for random signals (logarithmic vertical axis) Soo-Young Chang, Huawei John Doe, Some Company

14 July 2006 EVALUATION 3 Figs 5 and 6: Performance comparison between Huawei scheme and other schemes under different false probabilities with real DTV signals Evaluation parameters for Huawei scheme sensing time T=1/3ms, points=50. Soo-Young Chang, Huawei

15 July 2006 EVALUATION 3 (cont’d) Fig 5: Performance comparison between Huawei proposal and other proposals under different probabilities of false alarm with real signals (linear vertical axis) Soo-Young Chang, Huawei

16 July 2006 EVALUATION 3 (cont’d) Fig 6: Performance comparison between Huawei proposal and other proposals under different probabilities of false alarm with real signals (logarithmic vertical axis) Soo-Young Chang, Huawei

17 July 2006 CONCLUSIONS As we can see from the previous figures, we found that our scheme is better than other schemes for both random signals and real signals. Soo-Young Chang, Huawei


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