Skip to main content
Log in

A Highly Robust Detector for Single-Frequency Pulse Signal with Large Doppler

  • Published:
Circuits, Systems, and Signal Processing Aims and scope Submit manuscript

Abstract

CW signal is widely used in sonar, communication, biomedicine and other fields. But because of its low Doppler tolerance, many detectors for CW signal are limited in large Doppler. To solve this problem, this paper proposes a new detector based on the consistency of sub-array instantaneous frequency sequence. The idea of the detector is as follows: First, use split beamforming technology to process the received signals of array. Next, extract the instantaneous frequency sequences of the output signals of the left and right sub-array, respectively. After that, calculate the variance of the difference sequence of two instantaneous frequency sequences as the detection statistics. Then, achieve the purpose of detecting CW signal. Simulation results and the verification of practical measured data show that this detector can effectively detect CW signals, and the detection performance under large Doppler is significantly better than matched filter and variance-of-instantaneous-frequency detector.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21
Fig. 22
Fig. 23
Fig. 24

Similar content being viewed by others

Data availability

All data included in this study are available upon request by contact with the corresponding author.

References

  1. A. Ahmed, Y. F. Hu, 3M relationship pattern for detection and estimation of unknown frequencies for unknown number of sinusoids based on eigenspace analysis of Hankel matrix, in IET Intelligent Signal Processing Conference 2013 (ISP 2013) (2013), pp. 1–6

  2. S. Gao, Z. Chang, Application of phase locked detection in underwater acoustic telemetry signal detection. Ocean Technol. 30(02), 80–83 (2010)

    Google Scholar 

  3. S. Jiang, T. Zhang, S. Dai, Y. Li, Q. Gao, Weak signal detection method of adaptive digital lock-in amplifier based on particle swarm optimization algorithm, in 2009 9th International Conference on Electronic Measurement & Instruments (2009), pp. 2-436–2-441

  4. G. Liang, J. Hui, M. Chang, Application of instantaneous frequency series and its low order moments. Acta Acust. 04, 280–288 (1995)

    Google Scholar 

  5. G. Liang, J. Hui, Instantaneous frequency variance detector (VIFD) and its performance evaluation. Acta Acust. 02, 183–190 (1999)

    Google Scholar 

  6. L. Ma, Weak signal detection based on duffing oscillator, in 2008 International Conference on Information Management, Innovation Management and Industrial Engineering (2008), pp. 430–433

  7. C. Militello, S.R. Buenafuente, An exact noniterative linear method for locating sources based on measuring receiver arrival times. J. Acoust. Soc. Am. 121(6), 3595–3601 (2007)

    Article  Google Scholar 

  8. A. Moqiseh, M.M. Nayebi, Combinational Hough transform for surveillance radar target detection in a 3-D data map, in 2008 IEEE Radar Conference (2008), pp. 1–6

  9. D.O. North, An analysis of the factors which determine signal/noise discrimination in pulsed-carrier systems. Proc. IEEE 51(7), 1016–1027 (1963)

    Article  Google Scholar 

  10. K.Y. Park, Performance evaluation of energy detectors. IEEE Trans. Aerosp. Electron. Syst. 14(2), 237–241 (1978)

    Article  Google Scholar 

  11. L.J. Stankovic, I. Djurovic, A. Ohsumi, H. Ijima, Instantaneous frequency estimation by using Wigner distribution and Viterbi algorithm, in 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03) (2003), pp. VI–121

  12. H. Urkowitz, Energy detection of unknown deterministic signals. Proc. IEEE 55(4), 523–531 (1967)

    Article  Google Scholar 

  13. G. Wang, S. He, A quantitative study on detection and estimation of weak signals by using chaotic Duffing oscillators. IEEE Trans. Circuits Syst. 50(7), 945–953 (2003)

    Article  MathSciNet  Google Scholar 

  14. J. Wang, Q. He, F. Kong, Adaptive multiscale noise tuning stochastic resonance for health diagnosis of rolling element bearings. IEEE Trans. Instrum. Meas. 64(2), 564–577 (2015)

    Article  Google Scholar 

  15. Y. Wang, A new method of weak signal detection using Duffing oscillator and its simulation research. Acta Phys. Sin. 57(4), 2053–2059 (2008)

    Article  Google Scholar 

  16. Y. Xin, Z. Xiang, L. Dong, A center frequency adjustable narrow band filter for the detection of weak single frequency signal. Rev. Sci. Instrum. 85(4), 568–570 (2014)

    Article  Google Scholar 

  17. X. Yao, P. Zhang, J. Gao, G. Hu, Detection of network traffic anomaly based on instantaneous parameters analysis, in 2006 International Conference on Communication Technology (2006), pp.1–4

  18. Z. Zhang, A. Jakobsson, M.D. Macleod, J.A. Chambers, A hybrid phase-based single frequency estimator. IEEE Signal Process. Lett. 12(9), 657–660 (2005)

    Article  Google Scholar 

  19. S. Zozor, P.O. Amblard, On the use of Stochastic Resonance in sine detection. Signal Procsss. 82(3), 353–367 (2006)

    Article  Google Scholar 

Download references

Acknowledgements

This research was supported by the National Key Research and Development Program of China (No. 2016YFC1400101), the National Key Research and Development Program of China (No. 2017YFC0306900), Provincial Funding Projects of National Key R&D Program of China (No. GX18C019) and the National Defense Basic Scientific Research Project (No. JCKY2019604B001).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jin Fu.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liang, G., Teng, Y., Fu, J. et al. A Highly Robust Detector for Single-Frequency Pulse Signal with Large Doppler. Circuits Syst Signal Process 41, 6906–6930 (2022). https://doi.org/10.1007/s00034-022-02096-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00034-022-02096-2

Keywords

Navigation