A GPS signal acquisition algorithm for the high orbit space

Lu, Kewen; Wang, Xinlong; Shen, Liangliang; Chen, Ding

doi:10.1007/s10291-021-01127-w

Cited by 1 publication

(1 citation statement)

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“…The global navigation satellite system (GNSS) includes constellations of satellites orbiting over the earth's surface that provide continuous positioning, navigation, and timing (PNT) services anywhere in the world or near-earth space, under any weather conditions [1][2][3]. The first stage of a GNSS receiver is the acquisition, which plays a very important role in signal synchronization, whose aim is to detect the signal and roughly estimate the code phase and the Doppler frequency of the satellite in the field of view.…”

Section: Introductionmentioning

confidence: 99%

GNSS Signal Acquisition Algorithm Based on Two-Stage Compression of Code-Frequency Domain

Zhou

Zhao

et al. 2022

Applied Sciences

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The recently-emerging compressed sensing (CS) theory makes GNSS signal processing at a sub-Nyquist rate possible if it has a sparse representation in certain domain. The previously proposed code-domain compression acquisition algorithms have high computational complexity and low acquisition accuracy under high dynamic conditions. In this paper, a GNSS signal acquisition algorithm based on two-stage compression of the code-frequency domain is proposed. The algorithm maps the incoming signal of the same interval to multiple carrier frequency bins and overlaps the mapped signal that belongs to the same code phase. Meanwhile, the code domain compression is introduced to the preprocessed signal, replacing circular correlation with compressed reconstruction to obtain Doppler frequency and code phase. Theoretical analyses and simulation results show that the proposed algorithm can improve the frequency search accuracy and reduce the computational complexity by about 50% in high dynamics.

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Section: Introductionmentioning

confidence: 99%