Motion Parameter Estimation of Near-Field Drone Based on DNSP Under Sensor Position Error
Xi’an University of Posts and Telecommunications
Abstract
Utilizing acoustic signals from the rotor or power engines is an important approach of identifying and localizing the drone. When localize the near-field drone, the uncertainties in the environment may introduce errors both in the signals propagation speed and the sensors positions. To address the issue, this letter proposes a double null space projection (DNSP) closed-form algorithm based on time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements to achieve high precision motion parameter estimation of the drone. Firstly, the null space projection method is introduced to the constructed localization equation to obtain the initial solution of drone motion parameter. However,…
Citation impact
- FWCI
- 348.42
- Percentile
- 100%
- References
- 18
Authors
5- PWPengwu WanCorresponding
Xi’an University of Posts and Telecommunications
- HLHao Li
Xi’an University of Posts and Telecommunications
- ZZZe Zhang
Xi’an University of Posts and Telecommunications
- CDChenchen Duan
Xi’an University of Posts and Telecommunications
- JWJin Wang
Xi’an University of Posts and Telecommunications
Topics & keywords
- Projection (relational algebra)
- Null (SQL)
- Position (finance)
- Drone
- Rotor (electric)
- Control theory (sociology)
- Estimation theory
- Process (computing)