Fast GNSS signal acquisition with Doppler frequency estimation algorithm

Gao, Faqin; Xia, Haixia

doi:10.1007/s10291-018-0768-0

Cited by 10 publications

(14 citation statements)

References 10 publications

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“…In order to explain the need for frequency compensation, we first analyzed the impact of block accumulation. Unlike conventional serial processing of sampling points, block accumulation is the overall operation of data blocks, which has been used in Reference [37,44]. The process of block accumulation is depicted in Figure 6.…”

Section: Pmf-fc-ba-fft Acquisition Methodsmentioning

confidence: 99%

“…is the response of block accumulation and v BA (n) is the noise component after block accumulation. H BA ( f d ) can be written as [37]:…”

Section: Pmf-fc-ba-fft Acquisition Methodsmentioning

confidence: 99%

“…On the other hand, for increasing the detection probability for weak signals, non-coherent integration is subject to the square loss [36]. The reduction of frequency search range limits the extension of coherent integration time [31,37]. Optimizing the detection strategy can also improve the detection probability in a weak signal environment.…”

Section: Introductionmentioning

confidence: 99%

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Fine Frequency Acquisition Scheme in Weak Signal Environment for a Communication and Navigation Fusion System

et al. 2019

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A novel communication and navigation fusion system (CNFS) was developed to realized high accuracy positioning in constrained conditions. Communication and navigation fusion signal transmitted by base stations are in the same time and frequency band but are allocated different power levels. The positioning receiver of CNFS requires signal coverage of at least four base stations to realize positioning. The improvement of receiver sensitivity is an important way to expand signal coverage of base station. As an essential stage of signal processing in CNFS positioning receiver, signal acquisition requires a trade-off between improvement of acquisition frequency accuracy and reduction in computational load. A new acquisition algorithm called PMF-FC-BA-FFT method is proposed to acquire the carrier frequency accurately with lower computational load in a weak signal environment. The received signal is firstly filtered by partially matched filters (PMF) with local replica pseudorandom noise (PRN) sequences being coefficients to strip off the PRN code in the signal. Frequency compensation (FC) was performed to avoid the large attenuation in block accumulation (BA) and generate a series of signals with a small frequency offset step. Block accumulation was then executed. Finally, the acquisition detection was performed based on a series of fast Fourier transformation (FFT) outputs to obtain acquisition results with fine frequency estimation. Simulations and experimental tests results show that the proposed method can realize high accuracy frequency acquisition in a weak signal environment with fewer computational resources compared with existing acquisition methods.

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Section: Pmf-fc-ba-fft Acquisition Methodsmentioning

confidence: 99%

“…is the response of block accumulation and v BA (n) is the noise component after block accumulation. H BA ( f d ) can be written as [37]:…”

Section: Pmf-fc-ba-fft Acquisition Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fine Frequency Acquisition Scheme in Weak Signal Environment for a Communication and Navigation Fusion System

et al. 2019

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“…Qaisar and Benson discussed in detail the searching Doppler frequency consumption time in GNSS signal acquisition, and clearly pointed out that shortening the Doppler frequency search range can shorten the acquisition time . Gao and Xia proposed a Doppler frequency estimation algorithm based on parameter estimation method, which not only reduced the Doppler frequency search range but also improved the acquisition sensitivity by lengthening the coherent integration time . Guo et al used a partially matched filter to combine the FFT results with the Doppler frequency, the signal acquisition sensitivity and dynamic adaptability are improved .…”

Section: Introductionmentioning

confidence: 99%

“…15 Gao and Xia proposed a Doppler frequency estimation algorithm based on parameter estimation method, which not only reduced the Doppler frequency search range but also improved the acquisition sensitivity by lengthening the coherent integration time. 16 Guo et al used a partially matched filter to combine the FFT results with the Doppler frequency, the signal acquisition sensitivity and dynamic adaptability are improved. 17 These are GNSS signal unaided acquisition methods; the introduction of external auxiliary information is also a common method to improve acquisition performance.…”

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confidence: 99%

A SINS‐aided two‐step fast acquisition method for GNSS signal based on compressive sensing

Cheng

2019

Concurrency and Computation

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Summary The Global navigation satellite system (GNSS) multi‐mode compatible and multi‐frequency information not only improves information redundancy but also eliminates errors such as ionospheric delays to improve positioning performance. However, multi‐mode and multi‐frequency observation information increases the hardware overhead and computational complexity, especially the signal acquisition. In this contribution, according to the strong complementarity between GNSS and Strapdown inertial navigation system (SINS) and the sparsity of the GNSS signal spreading code in the autocorrelation domain, a SINS‐aided fast acquisition method for GNSS signals based on Compressive sensing (CS) is proposed. First, the inertia information of SINS narrows the Doppler frequency search range; then, the CS is applied to measure compressively the GNSS signal in two steps, ie, the first step is to narrow down the code phase search range, and the second step is to determine the code phase of the half chip accuracy. Finally, the proposed method and the other two typical acquisition methods are compared by the detection probability and the Mean acquisition time (MAT). Theoretical analysis and experimental results show that the proposed method can not only reduce the number of correlators and computational complexity but also improve the detection probability and reduce the MAT.

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Improved high-sensitivity partial-matched filter with FFT-based acquisition algorithm for BDS-2 and BDS-3 signals with secondary code modulation

2023

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Fast GNSS signal acquisition with Doppler frequency estimation algorithm

Cited by 10 publications

References 10 publications

Fine Frequency Acquisition Scheme in Weak Signal Environment for a Communication and Navigation Fusion System

Fine Frequency Acquisition Scheme in Weak Signal Environment for a Communication and Navigation Fusion System

A SINS‐aided two‐step fast acquisition method for GNSS signal based on compressive sensing

Improved high-sensitivity partial-matched filter with FFT-based acquisition algorithm for BDS-2 and BDS-3 signals with secondary code modulation

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