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 2 publications

(1 citation statement)

References 8 publications

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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%

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

Zhou

Zhao

et al. 2022

Applied Sciences

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Double block zero padding differential coherent weak signal acquisition algorithm under ionospheric interference

Zhao

2024

International Conference on Signal Processing and Communication Security (ICSPCS 2024)

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The Global Positioning System (GPS) is widely used, which can provide users with all-weather and real-time navigation and positioning services. In a complex space environment, the propagation of GPS signals is easily disturbed by ionospheric scintillation, which results in signal strength decline. Aiming at the weak signal acquisition problem of GPS receiver, this paper proposes a weak GPS signal acquisition algorithm based on Double Block Zero Padding (DBZP) and improved differential coherent integration. After the signal is processed by DBZP, it is further processed by differential coherent integration, which effectively reduces the related power loss caused by Doppler frequency shift. In addition, the signal strength is enhanced by correlation accumulation technology, and the error caused by bit inversion of satellite signal is eliminated by bit inversion estimation technology. The simulation results show that the algorithm can successfully capture weak GPS signals, and the capture peak is more obvious, which improves the robustness of the algorithm. When the GPS signal suffers from severe ionospheric scintillation interference, the acquisition probability of Signal to Interference Ratio (SIR) still reaches 50% at -35dB. When the SIR is increased to -33dB, the probability will be further increased to 92%.

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A GPS signal acquisition algorithm for the high orbit space

Cited by 2 publications

References 8 publications

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

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

Double block zero padding differential coherent weak signal acquisition algorithm under ionospheric interference

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