Skip to main content
Log in

An Efficient Broadband Adaptive Beamforming Algorithm Based on Frequency–Space Cascade Processing

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

Abstract

In this paper, the performance loss caused by the aperture fill phenomena and heavy computational burden in broadband adaptive beamforming (ADBF) is analyzed, and an efficient approach based on frequency–space cascade processing is presented. First, a digital compensation method is applied to compensate for the aperture fill time of the broadband phased array in the range-frequency domain, removing the dependence of the wideband array steering vector on the instantaneous frequency. Second, a subband adaptive beamforming scheme using range-compressed data is implemented, reducing the degrees of freedom of wideband jamming and avoiding signal cancelation in the ADBF covariance matrix estimation. Moreover, the conjugate gradient algorithm is used to iteratively calculate the ADBF weight vector to reduce the computational complexity. Finally, wideband ADBF can be achieved by subband synthesis. Theoretical analysis and simulation results are provided to demonstrate that the proposed approach can suppress jamming sufficiently with a rapid convergence rate, making this approach feasible for engineering implementation.

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

Similar content being viewed by others

References

  1. Y. Cao, Y. Wang, S. Wang, S. Zhou, Wideband subarray beamforming based on subband decomposition, in Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) (2014), pp. 247–251

  2. S.C. Chan, H.H. Chen, Uniform concentric circular arrays with frequency-invariant characteristics-theory, design, adaptive beamforming and DOA estimation. IEEE Trans. Signal Process. 55(1), 165–177 (2007)

    Article  MathSciNet  Google Scholar 

  3. H. Chen, W. Ser, Design of robust broadband beamformers with passband shaping characteristics using Tikhonov regularization. IEEE Trans. Audio Speech Lang. Process 17(4), 665–681 (2009)

    Article  Google Scholar 

  4. Z. Chen, H. Li, M. Rangaswamy, Conjugate gradient adaptive matched filter. IEEE Trans. Aerosp. Electron. Syst. 51(1), 178–191 (2015)

    Article  Google Scholar 

  5. M. Crocco, A. Trucco, A computationally efficient procedure for the design of robust broadband beamformers. IEEE Trans. Signal Process. 58(10), 5420–5424 (2010)

    Article  MathSciNet  Google Scholar 

  6. M. Crocco, A. Trucco, Design of robust super directive arrays with a tunable tradeoff between directivity and frequency-invariance. IEEE Trans. Signal Process. 59(5), 2169–2181 (2011)

    Article  MathSciNet  Google Scholar 

  7. O.L. Frost, An algorithm for linearly constrained adaptive array processing. Proc. IEEE 60(8), 926–935 (1972)

    Article  Google Scholar 

  8. L. Griffiths, C.W. Jim, An alternative approach to linearly constrained adaptive beamforming. IEEE Trans. Antenna Propag. 30(1), 27–34 (1982)

    Article  Google Scholar 

  9. B. Himed, K. Kim, Y. Zhang, A new approach to wideband space–time adaptive processing (W-STAP), in Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop (2004), pp. 672–676

  10. Z. Hong, Z. Mingbo, C. Yulin, H. Xiaotao, Z. Zhimin, Performance analysis of subband stap for UWB SAR sparse array, in Proceedings of the IET International Radar Conference (2009), pp. 1–5

  11. I.P. Kirsteins, H. Ge, Performance analysis of Krylov space adaptive beamformers, in Proceedings of the Fourth IEEE Workshop on Sensor Array and Multichannel Processing (SAM) (2006), pp. 16–20

  12. W. Liu, S. Weiss, Wideband Beamforming: Concepts and Techniqeus (Wiley, Chichester, 2010)

    Book  Google Scholar 

  13. S.U. Pillai, K.Y. Li, J.R. Guerci, Effect of bandwidth on wideband-STAP performance, in Proceedings of Conference on Signals, Systems and Computers (2007), pp. 2195–2198

  14. A.O. Steinhardt, N.B. Pulsone, Subband STAP processing, the fifth generation, in Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop (2000), pp. 1–6

  15. F.W. Vook, R.T. Compton, Bandwidth performance of linear adaptive arrays with tapped delay-line processing. IEEE Trans. Aerosp. Electron. Syst. 28(3), 901–908 (1992)

    Article  Google Scholar 

  16. P.G. Vouras, T.D. Tran, Robust transmit nulling in wideband arrays. IEEE Trans. Signal Process. 62(14), 3706–3719 (2014)

    Article  MathSciNet  Google Scholar 

  17. Y. Yao, X. Huang, G. Wu, K. Wei, Joint equalization and fractional delay filter design for wideband digital beamforming, in Proceedings of the IEEE Radar Conference (2015), pp. 0823–0827

  18. Y. Zhao, W. Liu, R.J. Langley, Subband design of fixed wideband beamformers based on the least squares approach. Signal Process. 91(4), 1060–1065 (2011)

    Article  MATH  Google Scholar 

Download references

Acknowledgements

This work was supported in part by the National Natural Science Foundation of China (No. 61201459, No. 61301212), Science and Technology on Electronic Information Control Laboratory and China Scholarship Council (No. 201606715009).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pei Hu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hu, P., Shen, M., Liang, C. et al. An Efficient Broadband Adaptive Beamforming Algorithm Based on Frequency–Space Cascade Processing. Circuits Syst Signal Process 37, 432–443 (2018). https://doi.org/10.1007/s00034-017-0545-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00034-017-0545-2

Keywords

Navigation