A Signal Acquisition Method Based on Multi-Sample Serial Fast Fourier Transform in High Dynamic and Low SNR Environment

Yantao CHEN; Binhong DONG; Hao LI; Yuanyuan CAI

doi:10.11999/JEIT200149

Volume 43 Issue 6

Jun. 2021

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Article Navigation > Journal of Electronics & Information Technology > 2021 > 43(6): 1691-1697

Yantao CHEN, Binhong DONG, Hao LI, Yuanyuan CAI. A Signal Acquisition Method Based on Multi-Sample Serial Fast Fourier Transform in High Dynamic and Low SNR Environment[J]. Journal of Electronics & Information Technology, 2021, 43(6): 1691-1697. doi: 10.11999/JEIT200149

Citation:

Yantao CHEN, Binhong DONG, Hao LI, Yuanyuan CAI. A Signal Acquisition Method Based on Multi-Sample Serial Fast Fourier Transform in High Dynamic and Low SNR Environment[J]. Journal of Electronics & Information Technology, 2021, 43(6): 1691-1697. doi: 10.11999/JEIT200149

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A Signal Acquisition Method Based on Multi-Sample Serial Fast Fourier Transform in High Dynamic and Low SNR Environment

doi: 10.11999/JEIT200149

National Key Laboratory of Communication, University of Electronic Science and Technology of China, Chengdu 611731, China

Funds: The Basic Enhancement Project (017-JCJQ-ZD-041), Basic Research Project (JCKY2016204A603)

Received Date: 2020-03-03
Rev Recd Date: 2020-08-13

Available Online: 2020-08-19

Publish Date: 2021-06-18

Abstract

Abstract

Hypersonic technology is the development trend of space vehicles in the future. It also poses new challenges for the fast acquire capability of communication platforms in ultra-high dynamic and low signal-to-noise ratio environments. To overcome the limitation of the classic acquisition algorithm affected by frequency offset, a signal acquisition algorithm based on Multi-sample Serial Fast Fourier Transform (MS-FFT) is proposed. The proposed algorithm serially executes the FFT of multiple samples and runs the peak searching after non-coherent combining to obtain the acquire result. Without increasing the complexity, the influence of frequency offset on the acquisition performance is avoided. By deriving the theoretical formula of the Peak Signal-to-Noise Ratio (PSNR), it is proved that the frequency offset adaptation range of MS-FFT depends on the sampling rate and can be larger than the classical algorithm with the continuous improvement of the sampling capability of digital-analog conversion devices. Finally, the correctness of the above theoretical derivation is verified by simulation, and it is proved that the proposed algorithm is more suitable for the application scenarios of ultra-high dynamic environment.
- Signal acquisition,
- High dynamic,
- Low Signal-to-Noise Ratio(SNR),
- Multi-sample Serial Fast Fourier Transform(MS-FFT)

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References(16)

References

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