# Satellite Based Positioning Signal Acquisition at Higher Order Cycle   Frequency

**Authors:** Pengda Wong

arXiv: 1704.05183 · 2017-04-19

## TL;DR

This paper introduces a novel satellite signal acquisition method using higher order cyclostatistics to improve detection in challenging environments like urban and indoor areas.

## Contribution

The paper proposes a new acquisition approach based on higher order cyclostatistics, enabling better estimation of initial phase and Doppler shift for satellite signals.

## Key findings

- Achieves 0.9 detection probability at 28dBHz CNR
- Demonstrates effectiveness on GPS signals through simulations and experiments
- Can be extended to other satellite positioning systems

## Abstract

The acquisition of the signal from the satellite based positioning systems, such as GPS, Galileo, and Compass, encounters challenges in the urban streets, indoor. For improving the acquisition performance, the data accumulation is usually performed to improve the signal-to-noise ratio which is defined on the second order statistics. Different from the conventional approaches, the acquisition based on higher order cyclostatistics is proposed. Using the cyclostatistics, the estimation of the initial phase and Doppler shift of the signal is presented respectively. Afterwards, a joint estimator is introduced. The analysis in this paper is performed on GPS signal. Indeed, the proposed estimation method can be straightforwardly extended to acquire the signal from the other satellite positioning systems. The simulation and experiment results demonstrate that the proposed signal acquisition scheme achieves the detection probability of 0.9 at the CNR 28dBHz.

## Full text

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## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/1704.05183/full.md

## References

25 references — full list in the complete paper: https://tomesphere.com/paper/1704.05183/full.md

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Source: https://tomesphere.com/paper/1704.05183