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Subspace Based Joint Delay and Direction of Arrival Estimation for GNSS Multipath Signals

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China Satellite Navigation Conference (CSNC) 2018 Proceedings (CSNC 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 498))

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Abstract

Multipath signals formed by signal reflecting from objects around the receiver in Global Navigation Satellite System result in tracking performance reduction and positioning error increase. Based on parameter estimation, multipath signals can be recognized, separated, restrained, and then position accuracy get improved. This paper proposed a new method focusing on joint estimation of multipath delays and direction of arrivals utilizing characteristics of spatial and code domain in GNSS signals. Considering the acquisition results, we first despread the received signal to obtain the gain. Also, the despreaded signal is truncated to reduce the dimension. Then, to overcome the coherent sources, the matrix is constructed by introducing some spatial degrees of freedom to frequency domain. Furthermore, subspace based method is adopted to estimate delay and direction of arrival of each path. Finally, simulation results and complexity analysis demonstrate that the proposed method has excellent performance and low complexity, which make the proposed method attractive in practical project.

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Acknowledgements

The work of this paper is supported by the Project of the National Natural Science Foundation of China (NFNC) (Grant No. 61671366).

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Correspondence to Ning Chang .

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Chang, N., Hong, X., Wang, W., Wang, Z. (2018). Subspace Based Joint Delay and Direction of Arrival Estimation for GNSS Multipath Signals. In: Sun, J., Yang, C., Guo, S. (eds) China Satellite Navigation Conference (CSNC) 2018 Proceedings. CSNC 2018. Lecture Notes in Electrical Engineering, vol 498. Springer, Singapore. https://doi.org/10.1007/978-981-13-0014-1_17

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  • DOI: https://doi.org/10.1007/978-981-13-0014-1_17

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0013-4

  • Online ISBN: 978-981-13-0014-1

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