Novel partial correlation method algorithm for acquisition of GNSS tiered signals

Svatoň, Jiří; Vejrazka, F.; Kubalik, Pavel; Schmidt, Jan; Borecky, Jaroslav

doi:10.1002/navi.390

Cited by 7 publications

(6 citation statements)

References 21 publications

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“…Due to this search space, the complexity of this process is high, and it is often highlighted as the most complex and resource-consuming phase of the digital process chain. Consequently, many publications looking into reducing computation complexity in GNSS receivers focus on the acquisition phase [44]- [48]. We limit the scope of the survey to acquisition algorithms published during the last ten years.…”

Section: A Gnss Signal Acquisitionmentioning

confidence: 99%

“…However, as pointed out by [48], such DBZP techniques are limited to non-coherent integration due to the possible secondary code sign transition, and the acquisition sensitivity is then limited by non-coherent loss. One solution is to go back to Serial Search, but this third dimension search is timeconsuming.…”

Section: A Gnss Signal Acquisitionmentioning

confidence: 99%

“…One solution is to go back to Serial Search, but this third dimension search is timeconsuming. In [48], a SBZP solution is proposed using the Partial Correlation Method (PCM) introduced by [20]. The main idea is to combine the results of multiple partial correlations to increase the coherent integration process leading to a higher acquisition sensitivity.…”

Section: A Gnss Signal Acquisitionmentioning

confidence: 99%

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A Survey on Low-Power GNSS

Grenier

Lohan

Ometov

et al. 2023

IEEE Commun. Surv. Tutorials

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With the miniaturization of electronics, Global Navigation Satellite Systems (GNSS) receivers are getting more and more embedded into devices with harsh energy constraints. This process has led to new signal processing challenges due to the limited processing power on battery-operated devices and to challenging wireless environments, such as deep urban canyons, tunnels and bridges, forest canopies, increased jamming and spoofing. The latter is typically tackled via new GNSS constellations and modernization of the GNSS signals. However, the increase in signal complexity leads to higher computation requirements to recover the signals; thus, the trade-off between precision and energy should be evaluated for each application. This paper dives into low-power GNSS, focusing on the energy consumption of satellite-based positioning receivers used in battery-operated consumer devices and Internet of Things (IoT) sensors. We briefly overview the GNSS basics and the differences between legacy and modernized signals. Factors dominating the energy consumption of GNSS receivers are then reviewed, with special attention given to the complexity of the processing algorithms. Onboard and offloaded (Cloud/Edge) processing strategies are explored and compared. Finally, we highlight the current challenges of today's research in low-power GNSS.

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Section: A Gnss Signal Acquisitionmentioning

confidence: 99%

Section: A Gnss Signal Acquisitionmentioning

confidence: 99%

Section: A Gnss Signal Acquisitionmentioning

confidence: 99%

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A Survey on Low-Power GNSS

Grenier

Lohan

Ometov

et al. 2023

IEEE Commun. Surv. Tutorials

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“…To acquire the BDS-3 B1C signal by limited resources, some acquisition algorithms such as partial correlation method are proposed. These algorithms also provide a coarse Doppler frequency estimate [18,19]. Hence, a fine Doppler frequency acquisition algorithm is also necessary for the BDS-3 B1C signal.…”

Section: Introductionmentioning

confidence: 99%

A novel fine Doppler frequency acquisition algorithm for BDS‐3 B1C signal based on an adaptive filter

Qiu

Wang

et al. 2021

IET Radar Sonar & Navi

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Fine Doppler frequency estimation has an important role in accelerating the convergence of the tracking loop in a global navigation satellite system (GNSS) receiver to achieve short time to first fix. BDS-3 started broadcasting a civil B1C signal to provide open services for global users, which is beneficial for GNSS-based applications. Therefore, a fine Doppler frequency acquisition algorithm based on an adaptive filter is proposed, whose purpose is to acquire the BDS-3 B1C signal Doppler frequency accurately after the completion of coarse acquisition. The proposed algorithm is based on a first-order complex-coefficients adaptive filter. The adaptive filter depends on the proposed adaptation algorithm to track the input BDS-3 B1C signal. An accurate Doppler frequency estimate is extracted. Simulation results show the proposed algorithm has high acquisition sensitivity, high acquisition accuracy, short acquisition time, and few hardware resources consumption, and also works well under many different coarse acquisition strategies. Overall, the proposed algorithm is better than the generic second-order frequency locked loop. Consequently, the proposed algorithm has high practical value.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…At present, there are two main categories of secondary code acquisition algorithms. Since the secondary code chipsign transition restricts the extension of coherent integration time, the first type of algorithm is to sequentially or simultaneously test all possible symbol combinations based on the consecutive correlated results of a primary code period [1,[6][7][8][9][10][11]. However, since the number of possible symbol combinations increases exponentially with the growth of secondary code chips, these methods are only adopted in the case of short coherent integration time.…”

Section: Introductionmentioning

confidence: 99%

A novel secondary code acquisition algorithm for the BDS‐3 B1C signal

Qiu

Wang

et al. 2021

IET Radar Sonar & Navi

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The BDS-3 recently started broadcasting a new civil B1C signal to provide open services for global users, which brings benefits to GNSS-based applications. The BDS-3 B1C signal modulates a long secondary code on the primary code in the pilot component, and it is useful to acquire the secondary code so as to extend coherent integration time when acquiring weak BDS-3 B1C signals. However, the long secondary code of the BDS-3 B1C signal puts FFT-based and multi-hypothesis-based secondary code acquisition methods in trouble from the high computational burden. Therefore, the authors propose a novel secondary code acquisition algorithm called the partial correlation method (PCM) for the BDS-3 B1C signal. The PCM acquires the secondary code in three steps to reduce the complexity and acquisition time, and it supports up to 110 ms coherent integration and can be applied for the case of C=N 0 ≥ 25 dB -Hz, which satisfies most cases. Further, a matched-filter-based architecture of the PCM is presented. Additionally, the characteristic length vector to determine the secondary code chip position quickly is proposed, which is better than the existing characteristic length method. Finally, experimental results based on real BDS-3 B1C signals data show that the proposed PCM is effective.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Novel partial correlation method algorithm for acquisition of GNSS tiered signals

Cited by 7 publications

References 21 publications

A Survey on Low-Power GNSS

A Survey on Low-Power GNSS

A novel fine Doppler frequency acquisition algorithm for BDS‐3 B1C signal based on an adaptive filter

A novel secondary code acquisition algorithm for the BDS‐3 B1C signal

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