In order to solve the increasing-batch problem in signal sorting, a novel sorting method based on auto-correlation function of coherent radar signal is proposed. By using the instantaneous auto-correlation function of coherent signal, the discrimination model of ratio of peak values was built and applied in sorting simulation. Simulation results show that the proposed approach can solve the Increasing-batch problem for CW, LFM, NLFM one sorting when the signal-to-noise rate (SNR) above 5dB. The validity of the approach is demonstrated by experimental results.
| Published in | Journal of Electrical and Electronic Engineering (Volume 5, Issue 2) |
| DOI | 10.11648/j.jeee.20170502.14 |
| Page(s) | 48-52 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Sorting, Coherency, Auto-correlation Function, Ratio of Peak Values
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APA Style
Wei Qing-yun, Chen Bei, Wang Jing, Han Jun, Tang Yu-wen. (2017). A Novel Sorting Method Based on Auto-correlation Function of Coherent Radar Signal. Journal of Electrical and Electronic Engineering, 5(2), 48-52. https://doi.org/10.11648/j.jeee.20170502.14
ACS Style
Wei Qing-yun; Chen Bei; Wang Jing; Han Jun; Tang Yu-wen. A Novel Sorting Method Based on Auto-correlation Function of Coherent Radar Signal. J. Electr. Electron. Eng. 2017, 5(2), 48-52. doi: 10.11648/j.jeee.20170502.14
AMA Style
Wei Qing-yun, Chen Bei, Wang Jing, Han Jun, Tang Yu-wen. A Novel Sorting Method Based on Auto-correlation Function of Coherent Radar Signal. J Electr Electron Eng. 2017;5(2):48-52. doi: 10.11648/j.jeee.20170502.14
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Download@article{10.11648/j.jeee.20170502.14,
author = {Wei Qing-yun and Chen Bei and Wang Jing and Han Jun and Tang Yu-wen},
title = {A Novel Sorting Method Based on Auto-correlation Function of Coherent Radar Signal},
journal = {Journal of Electrical and Electronic Engineering},
volume = {5},
number = {2},
pages = {48-52},
doi = {10.11648/j.jeee.20170502.14},
url = {https://doi.org/10.11648/j.jeee.20170502.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20170502.14},
abstract = {In order to solve the increasing-batch problem in signal sorting, a novel sorting method based on auto-correlation function of coherent radar signal is proposed. By using the instantaneous auto-correlation function of coherent signal, the discrimination model of ratio of peak values was built and applied in sorting simulation. Simulation results show that the proposed approach can solve the Increasing-batch problem for CW, LFM, NLFM one sorting when the signal-to-noise rate (SNR) above 5dB. The validity of the approach is demonstrated by experimental results.},
year = {2017}
}
TY - JOUR T1 - A Novel Sorting Method Based on Auto-correlation Function of Coherent Radar Signal AU - Wei Qing-yun AU - Chen Bei AU - Wang Jing AU - Han Jun AU - Tang Yu-wen Y1 - 2017/04/06 PY - 2017 N1 - https://doi.org/10.11648/j.jeee.20170502.14 DO - 10.11648/j.jeee.20170502.14 T2 - Journal of Electrical and Electronic Engineering JF - Journal of Electrical and Electronic Engineering JO - Journal of Electrical and Electronic Engineering SP - 48 EP - 52 PB - Science Publishing Group SN - 2329-1605 UR - https://doi.org/10.11648/j.jeee.20170502.14 AB - In order to solve the increasing-batch problem in signal sorting, a novel sorting method based on auto-correlation function of coherent radar signal is proposed. By using the instantaneous auto-correlation function of coherent signal, the discrimination model of ratio of peak values was built and applied in sorting simulation. Simulation results show that the proposed approach can solve the Increasing-batch problem for CW, LFM, NLFM one sorting when the signal-to-noise rate (SNR) above 5dB. The validity of the approach is demonstrated by experimental results. VL - 5 IS - 2 ER -
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