Comparison Between Ratio Detection and Threshold Comparison for GNSS Acquisition

Geiger, Bernhard C.; Vogel, Christian; Soudan, Michael

doi:10.1109/taes.2012.6178098

Cited by 26 publications

(17 citation statements)

References 10 publications

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“…Here, the noise floor density per cell is estimated as the total cells' accumulated power as per , from which the first and second greatest peaks are removed, before being divided by the total cells' number minus the two removed peaks. This first metric could be seen as a Threshold Comparison (TC) with an adaptive threshold (Hybrid Search) , but considering both first and second peaks computed only once, i.e., without cell subsets.…”

Section: Acquisition Channel Implementation Detailsmentioning

confidence: 99%

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

2015

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A generic 2048‐point FFT acquisition architecture is proposed to address L1 civil signals from all four GNSS constellations. After emphasizing hardware design criteria and their resulting design limitations, software compensation approaches are compared. A detailed validation methodology, involving a successive 1000‐step Monte‐Carlo study, was defined to optimally configure the acquisition channel, with new metrics to establish formal signal detection. The integration thereof results in a novel, minimalistic, yet generic, acquisition channel implementation, as well as a thorough validation method. Execution time of one acquisition iteration is approximately 5 ms, in line with VHDL simulations and foreseen channel management overhead. Coarse/fine search increments and thresholds are based on extensive experimentation. A 41 dB‐Hz acquisition sensitivity threshold was established to achieve >95 % detection rates for 1 ms integrations, while 15 ms non‐coherent integrations are required for signal strengths down to 37 dB‐Hz. These thresholds account for known implementation losses. Copyright © 2015 Institute of Navigation

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Section: Acquisition Channel Implementation Detailsmentioning

confidence: 99%

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

2015

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“…It works well in continuous systems for code acquisition, but not feasible in burst packet acquisition, where estimation is unavailable since it is still unknown whether the received signal is noisy signal or just noise when acquisition is performed. The FTS scheme is simple and generally exploited in packet acquisition [1]- [6], [21]- [23], [29], [30]. However, in practice the observed noise power in baseband has a dynamic range, which significantly degrades the acquisition performance of common detectors, which will be shown in this paper.…”

Section: Introductionmentioning

confidence: 95%

GLRT Approach for Robust Burst Packet Acquisition in Wireless Communications

Xiao

Zhang

Jin

et al. 2013

IEEE Trans. Wireless Commun.

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Rapid detection of the arrival of a packet is challenging in burst wireless communications, where many parameters are unknown, such as signal power, noise power and carrier phase offset. Due to the unknown noise power, it is hard to set appropriate thresholds for the existing common detectors under the Neyman-Pearson criterion, which results in vulnerable acquisition and poor performance. In order to solve this problem, we propose the generalized likelihood-ratio test (GLRT) approach for sequence-aided packet acquisition in this paper. GLRT detection is formulated under multipath channel. Moreover, false alarm probability and detection probability of GLRT are derived and confirmed via simulations. Comparisons are conducted between GLRT and the common detectors, as well as GLRT under different channels. Results show that GLRT basically reveals more competitive and robust performance than the common detectors in practice, with only a little extra hardware cost by using the provided recursive computation structure. Additionally, it is shown that fading results in significant deterioration for GLRT; whereas GLRT has ability to exploit multipath diversity to reduce fading effect and improve acquisition performance.

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“…As discussed in [1], the bit transition causes the correlation peak splitting and leads to a wrong estimation of the signal parameters. In order to solve this problem, two signals are firstly defined as (9) and (10).…”

Section: B Bit Transition Problem Analysis and Solutionmentioning

confidence: 99%

“…In most traditional receivers, the searching results are determined based on the energy by correlating the received signal with the corresponding carrier and code replicas [1]. The correlating operation based on the Discrete Fourier Transform (DFT) operation is often employed to search for the parameters in parallel at time or frequency domain.…”

Section: Introductionmentioning

confidence: 99%

GNSS signal acquisition in weak signal condition

Zhu

Fan

2014

2014 9th International Symposium on Communication Systems, Networks &Amp; Digital Sign (CSNDSP)

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In this paper, a new method for Global Navigation Satellite System (GNSS) signal acquisition in weak signal condition is considered, mainly on bit transition and accumulation over multiple code periods. The impact of bit transition on the acquisition block is analyzed and an algorithm based on the Discrete Fourier Transform (DFT) operation is proposed to solve the bit transition problem, after which the accumulation scheme is presented based on the proposed algorithm. The simulation results and receiver operative characteristic (ROC) curves are given to verify the bit transition and accumulation methods.

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Comparison Between Ratio Detection and Threshold Comparison for GNSS Acquisition

Cited by 26 publications

References 10 publications

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

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

GLRT Approach for Robust Burst Packet Acquisition in Wireless Communications

GNSS signal acquisition in weak signal condition

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