Abstract

It can receive different signals in multi-system positioning. There might be dozens, even hundreds of signal sources. It is a great computation burden of hardware to process so many signals. On the other hands, the positioning accuracy of different signal systems is different; the worse signal may affect the positioning accuracy if there are too many signal sources. So it is necessary to select the better signal sources for positioning. This paper proposed a signal selection method for heterogeneous positioning sources. It combines the factors which affect the positioning accuracy to a function. Then assess the quality of the signals and select the best source set. The simulation results showed the efficiency of the algorithm.

Highlights

  • There are more than one signal systems in the multisource heterogeneous positioning system [1]

  • Each of the signal system has different measurement and positioning accuracy [2]. It should consider the effect of the signal system when select the signal sources in heterogeneous positioning system

  • It is necessary to assess the quality of the signals, and select the best signal source set for a best positioning accuracy

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Summary

Introduction

There are more than one signal systems in the multisource heterogeneous positioning system [1]. It only considered the geometric relations between the signal sources and the receiver It doesn’t reflect the effect of the signal system and the environment factors which will greatly affect the positioning accuracy [6]. For this reason, we proposed a new signal selection method for heterogeneous sources. We proposed a new signal selection method for heterogeneous sources It considered the signal system, the positioning algorithm, the receiver parameter, the environment factors and the geometric relation between the signal sources and receiver to assess the quality of each signal sources. Select the best signal sources set for positioning

The factors that affect the positioning accuracy
Signal selection method for heterogeneous sources
Simulation analysis
Conclusion
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