Implementation Strategies for a Software-Compensated FFT-based Generic Acquisition Architecture with Minimal FPGA Resources

Fortin, Marc-Antoine; Bourdeau, Francis; Landry, René

doi:10.1002/navi.110

Cited by 9 publications

(29 citation statements)

References 7 publications

(14 reference statements)

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“…The partial correlation loss (PCM loss) is defined as a relative decrease in the amplitude of a correlation peak. As a consequence, the Peak to Noise Ratio(PNR; Fortin et al, 2015;Molino, Girau, Nicola, Fantino, & Pini, 2008) and carrier-to-noise ratio (C/N 0 ) are reduced accordingly, which is a severe complication for signal detection. The PCM loss is derived using the W'-function.…”

Section: Partial Correlation Methods Lossmentioning

confidence: 99%

“…Finally, the partial correlation sub-results of each of the M blocks were combined noncoherently. Therefore, an extension of PIT to improve sensitivity was not considered in Fortin et al (2015).…”

Section: The Problem Of Long Primary Code Period and Limited Fft Lengthmentioning

confidence: 99%

“…The resulting total loss of all considered methods is summarized in Table 1. The "M1xxx" is the type of non-coherent combining using only one block from a subset of M, which is presented in Fortin et al (2015). The "Ideal PCS without zero-padding" is used as an ideal theoretical model of the straightforward solution for comparison only.…”

Section: Proposed Modified Single Block Zero-padding Algorithm For Pcmmentioning

confidence: 99%

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Novel partial correlation method algorithm for acquisition of GNSS tiered signals

et al. 2020

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This paper presents a new modified Single Block Zero-Padding (mSBZP) Partial Correlation Method (PCM) Parallel Code Search (PCS) algorithm for effective acquisition of weak GNSS tiered signal using coherent processing of its secondary code (SC) component. Two problems are discussed: acquisition of primary codes with a longer period using FFT blocks of limited length, and the utilization of PCS in the presence of SC bit transition. The PCM and SC bit transition forms parasitic fragments in the Cross-Ambiguity-Function (CAF) to devaluate signal detection performance. A novel analysis of this mechanism and its impact is presented. A novel mSBZP-PCM-PCS algorithm is proposed, which does not degrade the CAF. Then, the algorithm is combined with SC bit transition removal schema and sequential search to construct an estimator for weak tiered signal acquisition. The performance of the method is demonstrated by analysis and computer simulation using Galileo E1C and GPS L1C-P signals.

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Section: Partial Correlation Methods Lossmentioning

confidence: 99%

Section: The Problem Of Long Primary Code Period and Limited Fft Lengthmentioning

confidence: 99%

Section: Proposed Modified Single Block Zero-padding Algorithm For Pcmmentioning

confidence: 99%

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Novel partial correlation method algorithm for acquisition of GNSS tiered signals

et al. 2020

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“…Inverse Fast Fourier Transform (IFFT) is a cheaper alternative to direct summation, i.e., the IFFT Gerstner wave model. IFFT is efficiently sped up by GPU [25] and FPGA [26]. Tessendorf [27] presented the method in SIGGRAPH'99.…”

Section: Ocean Wave Rendering Based On the Gerstner Wave Modelmentioning

confidence: 99%

Ocean Wave Rendering with Whitecap in the Visual System of a Maritime Simulator

Chen

Yin

2017

CIT

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The whitecap is an important oceanographic phenomenon. However, existing whitecap rendering methods do not successfully generate realistic whitecaps. To solve this problem, this paper presents a real-time whitecap rendering method applied to the visual system of a maritime simulator. The method takes the vertical acceleration on the wave crest as the criterion of whitecap generation. The Fourier coefficient of the vertical acceleration is provided, and a continuous mathematical model computing the whitecap coverage is built. The vertical acceleration is the variable of the model. The lifetime of the whitecap's existence can be controlled by the parameter of the model, and the parameter is computed with the genetic algorithm. The average of the computed whitecap coverage is equal to the whitecap coverage computed by the stochastic method and is close to the whitecap coverage computed by the empirical formula. The whitecap coverage is used as the blending factor to blend the pixel color of the whitecap texture and that of the sea surface. The presented method has sound theoretical support, with small computational complexity. The rendered whitecap is closer to the description of the Beaufort wind force scale than before.

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“…In the initial stage of the development of the receiver, it is mainly implemented by hardware. Then, the technology of digital signal processing (DSP), field programmable gate array (FPGA), and advanced RISC machines (ARM) have been gradually applied to the design of the signal sampling or processing part of the GNSS software receiver [3][4][5][6][7][8]. Compared to the traditional hardware receiver using application-specific integrated circuit (ASIC), FPGA or DSP offer flexibility similar to software and speed similar to hardware, but there are difficulties in implementing high-complexity calculations, and they are still expensive niche products for dedicated applications [9,10].…”

Section: Introductionmentioning

confidence: 99%

Research on multi-constellation GNSS compatible acquisition strategy based on GPU high-performance operation

Guo

Zhong

2018

J Wireless Com Network

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With the continuous development of satellite navigation, how to make full use of the compatibility and interoperability among the four constellations deserves our deep thinking. Signal acquisition is a critical technology that affects the performance of GNSS receivers. However, its implementation has high requirements on both resource consumption and processing time. In recent years, graphics processing unit (GPU) technology with a large number of parallel processing units is gradually applied to the navigation field. In this paper, a multi-constellation-compatible capture strategy based on GPU is proposed. Compared with the traditional GNSS signal processing, the design has better flexibility and portability, and the acquisition parameters of the system can be configured flexibly through the interface. The experimental results show that the proposed scheme makes full use of the powerful parallel processing capability of GPU, which greatly reduces the acquisition time and improves the efficiency of signal processing, with the increase of data processing. In addition, as the amount of signal processing data increases, the advantages of the CPU highperformance computing platform will be more obvious.

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Implementation Strategies for a Software-Compensated FFT-based Generic Acquisition Architecture with Minimal FPGA Resources

Cited by 9 publications

References 7 publications

Novel partial correlation method algorithm for acquisition of GNSS tiered signals

Novel partial correlation method algorithm for acquisition of GNSS tiered signals

Ocean Wave Rendering with Whitecap in the Visual System of a Maritime Simulator

Research on multi-constellation GNSS compatible acquisition strategy based on GPU high-performance operation

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