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DOA Estimation of Coherent Wideband LFM Signals Based on Sparse Representation of FRFT Domain

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Communications, Signal Processing, and Systems (CSPS 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 463))

Abstract

In this paper, a DOA estimation method for wideband signals based on sparse representation in FRFT domain is proposed. This method establishes the DOA estimation model and the array popular matrix in the FRFT domain and reconstruct the spatial spectral function based on the sparse representation of the spatial angle, so as to realize DOA estimation of the wideband LFM signals. The algorithm is not only suitable for non-coherent signals, but also can process coherent signals directly without any decoherent operations. Simulation results show that the proposed method can achieve higher estimation performance than the traditional methods, especially at low SNR.

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References

  1. Max, M., Shan, T.J., Kailath, T.: Spatio-temporal spectral analysis by eigenstructure methods. IEEE Trans. Acoust. Speech Sig. Process. 32(4), 817–827 (1984)

    Google Scholar 

  2. Wang, H., Kaveh, M.: Coherent signal-subspace processing for the detection and estimation of angles of arrival of multiple wide-band sources. IEEE Trans. Acoust. Speech Sig. Process. 33(4), 823–831 (1985)

    Google Scholar 

  3. Almeida, L.B.: The fractional fourier transform and time-frequency representations. IEEE Trans. Sig. Process. 42(11), 3084–3091 (1994)

    Google Scholar 

  4. Tao, R.: Fractional Fourier Transform and Its Application. Tsinghua University Press, Beijing (2009)

    Google Scholar 

  5. Hung, H., Kaveh, M.: Focussing matrices for coherent signal-subspace processing. IEEE Trans. Acoust. Speech Sig. Process. 36(8), 1272–1281 (1988)

    Google Scholar 

  6. Zhao, Y., Zhang, L., et al.: A new DOA estimation method for wideband signals based on sparse representation. J. Electron. Inf. 37(12), 2935–2940 (2015)

    Google Scholar 

  7. Godara, L.C.: Application of antenna arrays to mobile communications. II. Beamforming and direction-of-arrival considerations. Proc. IEEE 85(8), 1195–1245 (1997)

    Google Scholar 

  8. Qu, H., Qi, L., Mu, X., et al.: DOA estimation of coherent wideband LFM signals based on fractional fourier transform. In: International Conference on Innovative Computing, Information and Control, pp. 18–21 (2006)

    Google Scholar 

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (No. 61171180, No. 61571157), the Fundamental Research Funds for the Central Universities (Grant No. HIT. MKSTISP. 2016 13 and No. HIT. MKSTISP. 2016 26), the fund from the Science and Technology on Electronic Information Control Laboratory and the Subject Guide Fund of Harbin Institute of Technology at Weihai (No. WH20150111).

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Correspondence to Xingpeng Mao .

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Wang, X., Mao, X., Wang, Y., Liu, A. (2019). DOA Estimation of Coherent Wideband LFM Signals Based on Sparse Representation of FRFT Domain. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_193

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  • DOI: https://doi.org/10.1007/978-981-10-6571-2_193

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

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