Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.
Autonomous vehicles use global navigation satellite systems (GNSS) to provide a position within a few centimeters of truth. Centimeter positioning requires accurate measurement of each satellite's direct path propagation time. Multipath corrupts the propagation time estimate by creating a time-varying bias. A GNSS receiver model is developed and the effects of multipath are investigated. MATLABtm code is provided to enable readers to run simple GNSS receiver simulations. More specifically, GNSS signal models are presented and multipath mitigation techniques are described for various multipath conditions. Appendices are included in the booklet to derive some of the basics on early minus late code synchronization methods. Details on the numerically controlled oscillator and its properties are also given in the appendix.List of Symbols.- Introduction.- GNSS Signal Models.- Existing GNSS Multipath Mitigation Techniques.- Summary.- References.- Authors' Biographies.Steven Miller obtained his Bachelors degree from the University of Wisconsin and the Masters and PhD degrees from Arizona State University. He is the founder and CEO of Asperio DSP. He works on the design of algorithms and software tools for GPS, MSK, PSK, AM, and FM receivers. He serves as a VP Engineering and Director of Technology at Hemisphere GPS. He previously worked at Sicom, Honeywell and Fairchild as a member of the engineering staff. He co-developed advanced multi-frequency GNSS receiver including the analog frequency plan, digital based architecture, signal processing chop with hundreds of channels, and software based signal tracking algorithms. He has published in IEEE conferences and journals and he is the co-author of several patents.Xue Zhang joined the School of Electrical, Computer, and Energy Engineering at Arizona State University for her PhD degree in Fall 2010, and she is currently a PhD candidate under the supervision of Prof. Andreas Spanias and Prof. Cihan Tepedelenlioglu. Her research l#+