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In a non-stationary signal environment where power frequency fluctuation and interharmonic components exist, there is no guarantee of measurement accuracy by using traditional methods.
In addition, array weights are adjusted using adaptive beamforming algorithms in order to optimize the performance of antenna system respect to the signal environment.
Assuming that 4 ≤ M ≤ 50, 0.005 ≤ f p /fs ≤ 0.02, which satisfy most of the signal environment, the minimum value of Equation (10) is 0.7502.
All experiments are 60-s long and were performed on a high-quality signal environment, which allowed for the use of a data rate of 54 Mbps.
Most of the conventional rate adaptation schemes suffer from the degradation of transmission performance since the signal environment changes radically when trains passing by the station.
The key technologies proposed in the study can effectively improve the positioning accuracy of PNS, and independently achieve longer time personal navigation in the attenuate or even invalid global navigation satellite system (GNSS) and wireless communication signal environment.
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The challenge today is to be able to use GPS indoors in weak signal environments.
For weak signal environments, it would be beneficial if the PLL and filtering process were independent.
Finally, this paper presents the comparison of different implementing schemes in a software-based GNSS receiver in weak signal environments.
Third, it gives and compares different implementation schemes in a software-based GNSS receiver in weak signal environments.
In weak GNSS signal environments, extending integration time is paramount to improving the GNSS receiver's sensitivity.
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