Fuzzy Logic Control for Doppler Search in DSSS Systems

Shi, Xuesen; Shen, Yuyao; Wang, Yongqing

doi:10.1109/tfuzz.2019.2932676

Cited by 8 publications

(4 citation statements)

References 44 publications

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“…The authors of [16] used an improved FFT circular correlation scheme with circular shifts in the frequency domain, which performed all frequency searches within a preset range by cyclically shifting the signal FFT results and delivered higher computational efficiency than conventional algorithms. Nonetheless, the scheme employed a fixed step size to compute all frequencies within the estimation range, which resulted in many invalid frequency searches [17]. The frequency search range had to be preset, and at least two times the expected maximum Doppler frequency was required to provide enough margin of error.…”

Section: Introductionmentioning

confidence: 99%

Research on Acquisition Performance of FFT Algorithm for Low-Frequency Spread-Spectrum Signals Using Acoustic Sensors

et al. 2023

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An essential precondition for the effective use of low-frequency spread-spectrum acoustic signals is their synchronous acquisition. Due to the low bit rate that low-frequency spread-spectrum signals have, the length of the spreading spectrum code and the number of intra-chip carriers need to be precisely designed to balance the acquisition performance and the bit rate in low-frequency spread-spectrum signals. Furthermore, the selection of the acquisition method and sampling frequency depends on the specific application and system requirements, which will directly affect the processing speed and accuracy. Firstly, this study uses a cyclical stepping search combined with a fixed threshold and maximum correlation discriminant method to improve the FFT acquisition algorithm with a low Doppler frequency. Secondly, the effects of the spreading spectrum code parameters and sampling frequency on the acquisition performance are also investigated through simulation and experiments with acoustic sensors. The results show that both lengthening the spreading spectrum code and increasing the number of intra-chip carriers can greatly improve the acquisition performance. Increasing the sampling frequency can improve the ranging accuracy but has a very limited improvement effect on the acquisition performance.

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Section: Introductionmentioning

confidence: 99%

Research on Acquisition Performance of FFT Algorithm for Low-Frequency Spread-Spectrum Signals Using Acoustic Sensors

et al. 2023

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“…It has been widely applied in many fields because of its good performance. In signal processing, Fuzzy logic has been used for noise cancellation [28] and frequency estimation [29][30][31]. For example, in ref.…”

Section: Introductionmentioning

confidence: 99%

“…For example, in ref. [31], a FL-based Doppler search strategy is proposed to reduce the Doppler frequency estimation error and false detection by adaptive adjusting frequency search step size. However, the frequency search algorithm in ref.…”

Section: Introductionmentioning

confidence: 99%

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A fine frequency estimation algorithm based on DFT samples and fuzzy logic for a real sinusoid

Shi

Wang

et al. 2022

IET Radar Sonar & Navi

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The study on the frequency estimation of a real sinusoid has been addressed in this article. Discrete‐Fourier‐transform (DFT)‐based frequency estimation always uses the maximum bin of DFT as a coarse estimation followed by a fine estimation algorithm, which computes a correction term to compensate for the initial frequency offset caused by the coarse estimation. To enhance the frequency estimation accuracy, a fine estimation algorithm based on DFT samples and fuzzy logic (FL) is proposed in this study. Firstly, a modified phase‐based algorithm is presented to estimate the sign of the correction term. Then, a main‐lobe coefficient and a side‐lobe coefficient are constructed using the amplitude of three spectral lines to calculate the correction term. A FL controller is utilised to generate a weighted factor to adjust the weight of the main‐lobe coefficient and the side‐lobe coefficient in the formula of the correction term. Compared with other existing fine algorithms, the proposed algorithm improves the correct probability of sign estimation by 10%–20%, and improves the estimation accuracy by 5%–8% at lower carrier‐to‐noise ratios (CNRs). In addition, the performance of the proposed algorithm is less affected by the initial frequency offset than other algorithms.

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Joint-Comb-Acquisition for High-Accelerating Doppler-Shift in Space Communications

Zhang,

Liu,

Liu

et al. 2023

ICC 2023 - IEEE International Conference on Communications

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Fuzzy Logic Control for Doppler Search in DSSS Systems

Cited by 8 publications

References 44 publications

Research on Acquisition Performance of FFT Algorithm for Low-Frequency Spread-Spectrum Signals Using Acoustic Sensors

Research on Acquisition Performance of FFT Algorithm for Low-Frequency Spread-Spectrum Signals Using Acoustic Sensors

A fine frequency estimation algorithm based on DFT samples and fuzzy logic for a real sinusoid

Joint-Comb-Acquisition for High-Accelerating Doppler-Shift in Space Communications

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