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2019-12-01
A Sub-Nyquist Sampling Digital Receiver System Based on Array Compression
By
Tao Chen,

    Dr. Tao Chen

    College of Information and Communication Engineering

    Harbin Engineering University

    China

    Homepage

Xutian Han,

    Dr. Xutian Han

    College of Information and Communication Engineering

    Harbin Engineering University

    China

    Homepage

Yongzhi Yu

    Dr. Yongzhi Yu

    College of Information and Communication Engineering

    Harbin Engineering University

    China

    Homepage

Progress In Electromagnetics Research Letters, Vol. 88, 21-28, 2020
doi:10.2528/PIERL19101002 | Google Scholar

Abstract
In order to obtain the carrier frequency (CF) and direction-of-arrival (DOA) estimation, a uniform linear array (ULA)-based modulated wideband converter (MWC) discrete compressed sampling (CS) digital receiver system is proposed. It can achieve sub-Nyquist sampling, save the storage space and specially obtain the CF and DOA estimation by processing the CS data directly. However, the existing method for this system needs more branches to get better performance. In this paper, a compressed uniform linear array (CULA)-based MWC discrete CS digital receiver system is proposed. First, a compression matrix is used to reduce the number of branches behind the antennas. Then, the MWC discrete CS structure is used to reduce the data volume. Finally, the multiple signal classification (MUSIC) algorithm is used to jointly estimate the CF and DOA by processing the CS data directly. The simulation results validate the effectiveness of the proposed system and the proposed method for the joint CF and DOA estimation.
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Citation
Tao Chen, Xutian Han, and Yongzhi Yu, "A Sub-Nyquist Sampling Digital Receiver System Based on Array Compression," Progress In Electromagnetics Research Letters, Vol. 88, 21-28, 2020.
doi:10.2528/PIERL19101002
References

1. Hamdaoui, B., B. Khalfi, and M. Guizani, "Compressed wideband spectrum sensing: Concept, challenges, and enablers," IEEE Communications Magazine, Vol. 56, No. 4, 136-141, 2018.
doi:10.1109/MCOM.2018.1700719        Google Scholar

2. Qiu, Z. Y., P. Wang, and J. Zhu, "A parameter estimation algorithm for LFM/BPSK hybrid modulated signal intercepted by Nyquist folding receiver," EURASIP Journal on Advances in Signal Processing, Vol. 2016, No. 1, 90-90, 2016.
doi:10.1186/s13634-016-0387-2        Google Scholar

3. Zhang, M., M. Diao, L. P. Gao, et al. "Neural networks for radar waveform recognition," Symmetry, Vol. 9, No. 5, 75-75, 2017.
doi:10.3390/sym9050075        Google Scholar

4. Pinto, R. G. D. C. P. and R. Merched, "A compressed sensing approach to block-iterative equalizers," IEEE Transactions on Signal Processing, Vol. 66, No. 4, 1007-1022, 2018.
doi:10.1109/TSP.2017.2781648        Google Scholar

5. Shahbazi, N., A. Abbasfar, and M. Jabbarian-Jahromi, "Efficient two-dimensional compressive sensing in mimo radar," EURASIP Journal on Advances in Signal Processing, Vol. 2017, No. 1, 23-23, 2017.
doi:10.1186/s13634-017-0448-1        Google Scholar

6. Wen, X., G. Kuang, J. Hu, R. Zhan, and J. Zhang, "Forward-looking imaging of scanning phased array radar based on the compressed sensing," Progress In Electromagnetics Research, Vol. 143, 575-604, 2013.
doi:10.2528/PIER13101804        Google Scholar

7. Mishali, M. and Y. C. Eldar, "From theory to practice: Sub-Nyquist sampling of sparse wideband analog signals," IEEE Journal of Selected Topics in Signal Processing, Vol. 2016, No. 1, 375-391, 2010.
doi:10.1109/JSTSP.2010.2042414        Google Scholar

8. Liu, W. S., Z. T. Huang, X.Wang, et al. "Design of a single channel modulated wideband converter for wideband spectrum sensing: Theory, architecture and hardware implementation," Sensors, Vol. 17, No. 5, 1035-1035, 2017.
doi:10.3390/s17051035        Google Scholar

9. Lv, W. H., H. L. Wang, and S. X. Mu, "Spectrum sensing using co-prime array based modulated wideband converter," Sensors, Vol. 17, No. 5, 1052-1052, 2017.
doi:10.3390/s17051052        Google Scholar

10. Yang, E. P., X. Yan, and K. Y. Qin, "Modulated wideband converter with run length limited sequences," IEICE Electronics Express, Vol. 13, No. 17, 20160670-20160670, 2016.
doi:10.1587/elex.13.20160670        Google Scholar

11. Chen, T., L. Z. Liu, and L. M. Guo, "Wideband signal detection based on MWC discrete compressed sampling structure," Transactions of Nanjing University of Aeronautics and Astronautics, Vol. 34, No. 2, 105-114, 2017.        Google Scholar

12. Chen, T., S. C. Wang, and L. M. Guo, "Recognition and parameter estimation of wideband LFM signal based on MWC discrete compressive sampling structure," Journal of Harbin Engineering University, Vol. 39, No. 8, 1415-1412, 2018.        Google Scholar

13. Ioushua, S. S., O. Yair, D. Cohen, et al. "CaSCADE: Compressed carrier and DOA estimation," IEEE Transactions on Signal Processing, Vol. 65, No. 10, 2645-2658, 2017.
doi:10.1109/TSP.2017.2664054        Google Scholar

14. Cui, C., W. Wu, and W. Q. Wang, "Carrier frequency and DOA estimation of sub-nyquist sampling multi-band sensor signals," IEEE Sensors Journal, Vol. 17, No. 22, 7470-7478, 2017.
doi:10.1109/JSEN.2017.2756861        Google Scholar

15. Chen, T., L. Z. Liu, and D. P. Pang, "A ULA-based MWC discrete compressed sampling structure for carrier frequency and AOA estimation," IEEE Access, No. 5, 14154-14164, 2017.
doi:10.1109/ACCESS.2017.2730223        Google Scholar

16. Chen, T., L. Z. Liu, and L. M. Guo, "Joint carrier frequency and DOA estimation using a modified ULA based MWC discrete compressed sampling receiver," IET Radar, Sonar and Navigation, Vol. 12, No. 8, 873-881, 2018.
doi:10.1049/iet-rsn.2017.0436        Google Scholar

17. Guo, M. R., Y. D. Zhang, and T. Chen, "DOA estimation using compressed sparse array," IEEE Transactions on Signal Processing, Vol. 66, No. 15, 4133-4166, 2018.
doi:10.1109/TSP.2018.2847645        Google Scholar

18. Pakrooh, P., A. Pezeshki, L. Scharf, et al. "Analysis of fisher information and the Cram´er-Rao bound for nonlinear parameter estimation after random compression," IEEE Transactions on Signal Processing, Vol. 63, No. 23, 6423-6428, 2015.
doi:10.1109/TSP.2015.2464183        Google Scholar

19. Morabito, A. F., A. R. Lagana, and T. Isernia, "On the optimal synthesis of ring symmetric shaped patterns by means of uniformly spaced planar arrays," Progress In Electromagnetics Research B, Vol. 20, 33-48, 2010.
doi:10.2528/PIERB10011206        Google Scholar

20. Si, W. J., P. J. Zhao, Z. Y. Qu, et al. "Real-valued DOA estimation for a mixture of uncorrelated and coherent sources via unitary transformation," Digital Signal Processing, Vol. 58, No. 2016, 102-114, 2016.
doi:10.1016/j.dsp.2016.07.024        Google Scholar

21. Jiang, J. J., F. J. Duan, and J. Chen, "Three-dimensional localization algorithm for mixed nearfield and far-field sources based on ESPRIT and MUSIC method," Progress In Electromagnetics Research, Vol. 136, 435-456, 2013.
doi:10.2528/PIER12121208        Google Scholar

22. Yildirim, A., "Method for estimating the central frequency of phase-coded radar signals," IET Signal Processing, Vol. 10, No. 9, 1073-1081, 2016.
doi:10.1049/iet-spr.2016.0237        Google Scholar

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