utilizing physical layer information to improve rfid tag

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Tcoll = 18us values are: Figure 6.4. Overlapping RCS states. Figure 6.5. Collision detection accuracy. The different methods used in the performance analysis and their simulation 1. Normal anti-collision algorithm. This scheme is used as the base value to evalu- ate the performance of the other three methods. Table 6.1 gives the simulation results for this algorithm. 26
2. Anti-collision with enhanced tag estimation. Table 6.2 lists the simulation results when the tag population is estimated using data extracted from the collision waveform. 3. Anti-collision with RN16 decoding using current protocol. Table 6.3 contains results for this algorithm in which RN16 decoding is used and one of the tag is correctly identified in a collision. 4. Anti-collision with RN16 decoding using modified protocol. Table 6.4 list the simulation results for the anti-collision algorithm which is a modified version of the ISO18000-6c protocol. This algorithm adds another command to the protocol which allows the reader to acknowldege more than one tag during one slot. On receipt of this command, a tag which sent its RN16 but did not receive a valid acknowledgement waits for the next slot. The remaining tags do not decrement their slot counters during this additional slot. This significantly boosts the efficiency of the algorithm. Table 6.1. Results for Normal anti-collision algorithm (A) Q value Tags Identified Actual Tags remaining Estimated Tags Remaining 5 12 38 30 5 12 26 22 5 12 14 14 4 3 11 8 3 1 10 8 3 6 4 4 3 2 2 2 3 2 0 0 27
Page 1 and 2: UTILIZING PHYSICAL LAYER INFORMATIO
Page 3 and 4: ACKNOWLEDGEMENTS My first encounter
Page 5 and 6: This thesis proposes a method of us
Page 7 and 8: 5.3 Signal separation . . . . . . .
Page 9 and 10: 6.7 Strong and weak tag collision w
Page 11 and 12: CHAPTER 1 INTRODUCTION Radio-Freque
Page 13 and 14: and signal absorption or reflection
Page 15 and 16: 2.1 RFID Reader CHAPTER 2 PASSIVE U
Page 17 and 18: Figure 2.2. Alien Squiggle Tag. Fig
Page 19 and 20: CHAPTER 3 ISO 18000-6C PROTOCOL The
Page 21 and 22: eply immediately. Tags that pick a
Page 23 and 24: identification times even if the nu
Page 25 and 26: difficult problem as field nulls ar
Page 27 and 28: Figure 5.1. Passive tag structure.
Page 29 and 30: Figure 5.4. Software defined radio.
Page 31 and 32: Figure 5.7. I-Q plot. Figure 5.8. 2
Page 33 and 34: 6.1 Tag estimation from collision C
Page 35: Figure 6.3. 4 tag collision. tags i
Page 39 and 40: Table 6.4. Results for enhanced ant
Page 41 and 42: Figure 6.8. Strong and weak tag col
Page 43 and 44: Figure 6.10. Random number distribu
Page 45 and 46: Figure 6.13. Squiggle tag. Figure 6
Page 47 and 48: Figure 6.17. Gaussian PDFs used for
Page 49 and 50: CHAPTER 7 USRP SYSTEM A software-de
Page 51 and 52: 7.2 Software GNU Radio is a free so
Page 53 and 54: CHAPTER 8 CONCLUSIONS AND FUTURE WO
Page 55 and 56: probabilty distribution. Thus there
Page 57 and 58: tions. This section contains the th
Page 59 and 60: A.1.2 Algortihm A (Reference Algori
Page 61 and 62: end end 51
Page 63 and 64: A.2.2 Inventory Round Simulation %R
Page 65 and 66: A.2.3 Predicting Number of Tags %Ru
Page 67 and 68: REFERENCES [1] EPCglobal, “Uhf cl
Page 69 and 70: [21] K. Finkenzeller, RFID Handbook

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