A Parallel Differential Correlation Acquisition Algorithm in Time Domain

Zhao, Jin; Zhang, Jianqiu; Yin, Jingxue

doi:10.1109/wicom.2009.5301893

Cited by 2 publications

(7 citation statements)

References 8 publications

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“…The proposed memory-based 2D-PDMF correlator combines the two concepts of a 2D correlator [15] and a PDMF correlator [10], and these two concepts are described firstly in paragraphs B1. Paragraph B2 shows the operation principle and concept of proposed memory-based 2D-PDMF correlator.…”

Section: Memory-based 2d-pdmf Correlatormentioning

confidence: 99%

“…For the purposed of reducing the operation speed of proposed memory-based 2D-PDMF correlator, the parallel processing can be adopted, as shown in paragraph B3. [15] and PDMF [10]: The 2D correlator reduces the operation count by breaking one correlation into multiple partial correlations and sharing all partial correlation results. Equation (4) shows the concept of a 2D correlator [15] …”

Section: Memory-based 2d-pdmf Correlatormentioning

confidence: 99%

“…Another correlator, PDMF [10], can reduce the average number of additions per correlation, and a similar concept for the tracking procedure is also proposed [20]. The PDMF can be implemented in two phases: grouping and summation.…”

Section: Preliminaries: 2d Correlatormentioning

confidence: 99%

“…There are two common types of acquisition architectures: the time domain [5][6][7][8][9][10][11][12][13][14][15] and the frequency domain [16][17][18][19]. This study proposes a time domain acquisition method, with a matched filter-based correlator.…”

Section: Introductionmentioning

confidence: 99%

“…The parallel code acquisition of multiple satellites is a popular method [10][11][12]. A parallel differential matched filter (PDMF) [10] synchronises multiple satellite signals simultaneously by sharing partial correlation results.…”

Section: Introductionmentioning

confidence: 99%

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Memory‐based two‐dimensional‐parallel differential matched filter correlator for global navigation satellite system code acquisition

Chen

Tsao

et al. 2014

IET Radar, Sonar & Navigation

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This study presents a code acquisition architecture for a global navigation satellite system (GNSS). The proposed scheme aim to reduce buffer resource required without reducing the number of code, frequency and satellite bins. Therefore the GNSS signal has no information loss. The code acquisition process in a GNSS attempts to find the code phase of a satellite signal, and it includes three procedures: coherent integration (CI), correlation and in CI. The proposed code acquisition architecture provides a lower operation count for correlation with reduced memory consumption. Firstly, the memory in CI and the shift register in the correlator are integrated by changing the operation sequence of CI and correlation. Thus, half of the memory in CI can be removed, and the shift register becomes the sharing buffer for both correlation and CI. Secondly, the addition count in the correlation is reduced by combining a parallel differential matched filter (PDMF) with a two-dimensional (2D) architecture to form a memory-based 2D-PDMF correlator. Finally, changing the sample sequence before integration reduces the memory of in CI. Compared with conventional code acquisition, the proposed design can reduce register consumption by 80% and addition count by 60% operation count for correlation and 50% memory consumption of incoherent integration.

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Section: Memory-based 2d-pdmf Correlatormentioning

confidence: 99%