Abstract
1Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX 76019-0016, USA 2Department of Computer Science, The George Washington University, Washington, DC 20052, USA 3Department of Electrical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan 4Air Force Research Laboratory/RHX, Brooks City Base, San Antonio, TX 78235, USA 5Core Software Department, iBiquity Digital Corporation, 150 Allen Road, Suite 201, Basking Ridge, NJ 07920, USA 6School of Information and Telecommunications, Beijing University of Posts and Telecommunications, Beijing 100876, China
Highlights
Radio Detection and Ranging (RADAR) sends out electromagnetic waves, while active Sound Navigation and Ranging (SONAR) transmits acoustic waves
Because electromagnetic waves are strongly attenuated in water, RADAR signals are mostly used for ground or atmospheric observations
Two different datasets by means of maximum likelihood (ML) parameter estimation as well as the root mean square error (RMSE) performance are analyzed. It shows that the log-logistic model achieves the smallest standard deviation (STD) error in parameter estimation as well as the best goodness-of-fit and smallest RMSE for both poor and good foliage clutter signals
Summary
The topics include UWB radar sensor networks, MAC protocol design, network routing, target detection, propagation modeling, and interference mitigation. Cheng’s paper presents a proposed MAC protocol that is latency-optimized and energy-efficient scheme and combines the physical layer and the MAC layer to shorten transmission delay. J. Liang et al.’s paper presents that foliage clutter should be more accurately described by a log-logistic model based on UWB radar.
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