원문정보
초록
영어
For subnanosecond low intensity of wireless network signal with representative Beidou
Satellite navigation signal is difficult to obtain accurate time estimation and Angle
estimation in the positioning, and easy to be affected by environmental noise, which made
its positioning accuracy not higher, this paper proposed a parameter estimation method
based on low intensity wireless network receiving signal spectrum. By sampling
approach, first sampling launch signal as multidimensional independent sub-signal and
modeling independently, through constructing noise space and sub-single space to obtain
TOA estimation accurately based on the orthogonalization of corresponding column
vector; then using complex domain mapping, on the basis of obtained TOA estimation, to
obtain DOA estimation with contrast way accurately. Finally, it conducted accuracy
analysis of the proposed parameter estimation method. Test data showed that: compared
with PM algorithm, ESPRIT algorithm, the proposed technique was more accurate on
TOAand DOA estimation; and in case of low strength of signal and serious background
noise, the proposed method can still be effective to maintain the precision of parameters
estimation. The technology can effectively reduce the influence of background noise on
the signal transmission, has strong practical deployment significance.
목차
1. Introduction
2. Signal Model
3. Parameter Estimation of Signal Receiving Spectrum
3.1. The Structure of Receiving and Receiving Spectrum Function of Signal
3.2. TOA Estimation Based On Receiving Spectrum Function
3.3. TOA and DOA Parameter Estimation Method
4. Simulation Experiment
5. Conclusion
References
