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A Novel TOA Estimation Algorithm Based on Kurtosis and Standard Slope in the 60GHz Sensor Network

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Abstract
 1. Introduction 
 2. System Model
  2.1. 60GHz Signal
  2.2. Multipath Fading Channel
  2.3. Energy Detection
 3. TOA Estimation Based on Energy Detection
  3.1. TOA Estimation Algorithms
  3.2. Error Analysis
 4. Statistical Characteristics
  4.1. Kurtosis
  4.2. Maximum Slope
  4.3. Standard Deviation
  4.4. Standard Slope
  4.5. Characteristics of the Four Parameters
 5. Threshold Based on Kurtosis and Standard Slope
  5.1. Relationship between Sm and SNR
  5.2. Relationship between MAE and the Normalized Threshold
  5.3. Normalized Threshold with Sm
 6. Results and Discussion
 7. Conclusions
 Acknowledgments
 References

저자정보

  • Xiao-Lin Liang College of Information Science and Engineering, Ocean University of China
  • Hao Zhang College of Information Science and Engineering, Ocean University of China, Department of Electrical and Computer Engieering, University of Victoria, Victoria V8W 3P5, Canada
  • Ting-Ting Lu College of Information Science and Engineering, Ocean University of China
  • T. Aaron. Gulliver Department of Electrical and Computer Engieering, University of Victoria, Victoria V8W 3P5, Canada
  • Xue-rong Cui Department of Computer and Communication Engieering, China University of Petroleum (East China)

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