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Application of the Unscented Transform to Time-Difference of Arrival Estimation of Signals of Global Navigation Satellite Systems (GNSS)
| Content Provider | Semantic Scholar |
|---|---|
| Author | Alves, Raquel Carolinne Freitas |
| Copyright Year | 2017 |
| Abstract | This work details the application of the Unscented Transform in the time-delay estimation between the signal sent by the satellite and, the same signal when it is received at the transmitter's antenna. The procedure of identifying the satellite ID and then tracking the signal is an important task in the translation of the information coded in it. Through the encrypted information on the satellite signal, it is possible to estimate localization, time and velocity of people and objects in the space. That is also why satellite navigation systems (from those GPS being the most known) are essential nowadays. To this purpose, as the signal arrives, di erent time-delayed copies of the same signal are generated and then correlated with the incoming signal. Currently, the discrete correlation function of the signal is analyzed at especi c arbitrary points. That is a standard procedure and also necessary to complete the Time-Di erence of Arrival estimation. This work proposes a new way to discretize the signal correlation function by using the Unscented Transform (UT). The Sigma points obtained through the UT keep the estatistical properties of the signal's probability density function, making that the chosen time-shift delays to perform the correlation yeld not an arbitrary process any more. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://bdm.unb.br/bitstream/10483/15959/1/2016_RaquelCarolinneFreitasAlves_tcc.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |