The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Wigner-Hough transform based on slices entropy and its application to multi-LFM signal detection
Open accessAbstract
To enhance the capacity of the radar-reconnaissance interception receiver recognizing linear frequency modulated (LFM) at a low signal-noise ratio, this paper presents Wigner-Hough transform (WHT) of the LFM signal and its corresponding characteristics, derives the probability density functions of the LFM signal and Gaussian white noise within WHT based on entropy (WHTE), dimension under different assumptions and puts forward a WHT algorithm based on entropy of slice to improve the capacity of detecting the LFM signal.Entropy of the WHT domain slice is adopted to assess the information size of polar radius or angle slice, which is converted into the weight factor to weight every slice.Double-deck weight is used to weaken the influences of noise and disturbance terms and WHTE treatment and signal detection procedure are also summarized.The rationality of the algorithm is demonstrated through theoretical analysis and formula derivation, the efficiency of the algorithm is verified by simulation comparison between WHT, fractional Fourier transform and periodic WHT, and it is highlighted that the WHTE algorithm has better detection accuracy and range of application against strong noise background.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Current channel estimation methods perform cross-correlation on linear sweep signals to estimate the delay and attenuation coefficient of the multipath effect.
“with current methods performing cross-correlation on linear sweep signals to estimate the delay and attenuation coefficient of the multipath effect [10].”
From A Fractional Fourier Transform-Based Channel Estimation and Equalization Algorithm for Mud Pulse Telemetry (2025) · cites this paper as [10]
The Introduction discusses detection of linear-frequency-modulated signals, while Section 3 discusses an instantaneous correlation function in an analysis of noise. Neither addresses channel-estimation methods that cross-correlate linear sweeps to estimate multipath delay and attenuation; searches for those terms found no supporting passage in our copy. The supplied passages do not identify page numbers. (LLM, conf=0.75)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Detection and Estimation of LFMCW Radar Signals
Geroleo, F. G., & Brandt-Pearce, M. (2012) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2012.6129644 · Cited by 100
Time-Delay Estimation of Chirp Signals in the Fractional Fourier Domain
Tao, R., Li, X.-M., Li, Y., & Wang, Y. (2009) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2009.2020028 · Cited by 69
LFM signal detection using LPP-Hough transform
Bi, G., Li, X., & See, C. M. S. (2010) · Signal Processing · doi:10.1016/j.sigpro.2010.08.001 · Cited by 58
Novel detection method for infrared small targets using weighted information entropy
Qu, X., Chen, H., & Peng, G. (2012) · Journal of Systems Engineering and Electronics · doi:10.1109/jsee.2012.00102 · Cited by 47
Mathematic principle of active jamming against wideband LFM radar
Gong, S., Wei, X., Li, X., et al. (2015) · Journal of Systems Engineering and Electronics · doi:10.1109/jsee.2015.00008 · Cited by 31
Multi-Component LFM Signal Feature Extraction Based on Improved Wigner-Hough Transform
Liu, F., Sun, D. P., Tao, R., et al. (2008) · International Conference on Wireless Communications, Networking and Mobile Computing · doi:10.1109/wicom.2008.462 · Cited by 15
Jian-gu, C. (2014) · Acta Aeronautica Et Astronautica Sinica · Cited by 7
Liu, F., Hui-fa, X., & Tao, R. (2011) · JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY · doi:10.3724/sp.j.1146.2010.01150 · Cited by 5
TOPSIS based on entropy weight for safety evaluation on coalmine transportation system
Wu, L. (2009) · Ha'erbin gongye daxue xuebao · Cited by 3
Single Guide League Ventricular Late Potentials Extraction Based on Signal Correlation
Liu, H. (2013) · Journal of Information and Computational Science · doi:10.12733/jics20102418 · Cited by 2
Detecting signals using adaptive mean and ridgelet transform filtering in a time-frequency domain
Zhu, F. (2010) · Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University · Cited by 2
Flagged first, then by citations
Research works printed but not linked: 7
- [1]1. B. Fang, G. M. Huang, J. Gao. A blind compressed sensing model for linear frequency modulated wideband radar signal. Acta Aeronautica et Astronautica Sinica, 2014, 35(8): 2261 - 2270. (in Chinese)
- [6]6. H. Yan, C. X. Dong, G. Q. Zhao. Parameter estimation of LFM signal based on compressed sensing. Chinese Journal of Radio Science, 2015, 30(3): 459 -466. (in Chinese)
- [7]7. S. Krinidis, V. Chatzis. A robust local information C-means clustering algorithm. IEEE Trans. on Image Processing, 2010, 19(5): 1328 -1337.
- [8]8. K. Liu, J. B. Han, Y. B. Wang, et al. Fast separation of multi- component LFM signals based on segmented clustering. Sys- tems Engineering and Electronics, 2015, 37(5): 1004 -1008. (in Chinese)
- [10]10. L. M. Zhang, Z. G. Zhong, Z. Z. Wang, et al. Detection and separation of overlapped quasi-LFMCW signals based on pe- riodic WHT recurrent filter. Acta Aeronautica et Astronautica Sinica, 2013, 34(11): 2580 -2589. (in Chinese)
- [16]16. T. Cheng, C. X. Zhang. Application of fuzzy AHP based on entropy weight to site selection of solid sanitary landfill. Envi- ronmental and Sanitary Engineering, 2003, 12(2): 64 -67.
- [17]17. Y. Wei, D. B. Sun, J. H. Wu, et al. Parameter estimation and separation of the multi-component LFM signal with WHT. Systems Engineering and Electronics, 2003, 25(12): 1472 - 1475. (in Chinese)
Cited by
Sorted by citations
Zhang, J., Sha, Z., Wan, L., Su, Y., Zhu, J., & Qu, F. (2025) · Journal of Marine Science and Engineering · doi:10.3390/jmse13081468 · Cited by 2
Metadata
- Authors
- Wang, H., Fan, X., Chen, Y., & Yang, Y.
- Affiliations
- Northwestern Polytechnical University (CN)
- Venue
- Journal of Systems Engineering and Electronics
- Published
- 2017
- Volume
- 28
- Issue
- 4
- Pages
- 634
- ISSN
- 1004-4132 (ISSN-L)
- OpenAlex
- W2894846983
- Cited by
- 12
- References
- 11
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 2 · 2023: 2 · 2022: 1 · 2021: 1 · 2020: 1 · 2019: 1 · 2018: 1
- FWCI
- 0.76
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Systems Engineering and Electronics (publishedVersion)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Radar Systems and Signal Processing
- Physical Sciences › Mathematics › Applied Mathematics › Mathematical Analysis and Transform Methods
- Physical Sciences › Engineering › Aerospace Engineering › Advanced SAR Imaging Techniques
- Keywords
- Wigner-Hough transform, linear frequency modulation signals, signal detection
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review