Vol. 92
Latest Volume
All Volumes
PIERL 123 [2025] PIERL 122 [2024] PIERL 121 [2024] PIERL 120 [2024] PIERL 119 [2024] PIERL 118 [2024] PIERL 117 [2024] PIERL 116 [2024] PIERL 115 [2024] PIERL 114 [2023] PIERL 113 [2023] PIERL 112 [2023] PIERL 111 [2023] PIERL 110 [2023] PIERL 109 [2023] PIERL 108 [2023] PIERL 107 [2022] PIERL 106 [2022] PIERL 105 [2022] PIERL 104 [2022] PIERL 103 [2022] PIERL 102 [2022] PIERL 101 [2021] PIERL 100 [2021] PIERL 99 [2021] PIERL 98 [2021] PIERL 97 [2021] PIERL 96 [2021] PIERL 95 [2021] PIERL 94 [2020] PIERL 93 [2020] PIERL 92 [2020] PIERL 91 [2020] PIERL 90 [2020] PIERL 89 [2020] PIERL 88 [2020] PIERL 87 [2019] PIERL 86 [2019] PIERL 85 [2019] PIERL 84 [2019] PIERL 83 [2019] PIERL 82 [2019] PIERL 81 [2019] PIERL 80 [2018] PIERL 79 [2018] PIERL 78 [2018] PIERL 77 [2018] PIERL 76 [2018] PIERL 75 [2018] PIERL 74 [2018] PIERL 73 [2018] PIERL 72 [2018] PIERL 71 [2017] PIERL 70 [2017] PIERL 69 [2017] PIERL 68 [2017] PIERL 67 [2017] PIERL 66 [2017] PIERL 65 [2017] PIERL 64 [2016] PIERL 63 [2016] PIERL 62 [2016] PIERL 61 [2016] PIERL 60 [2016] PIERL 59 [2016] PIERL 58 [2016] PIERL 57 [2015] PIERL 56 [2015] PIERL 55 [2015] PIERL 54 [2015] PIERL 53 [2015] PIERL 52 [2015] PIERL 51 [2015] PIERL 50 [2014] PIERL 49 [2014] PIERL 48 [2014] PIERL 47 [2014] PIERL 46 [2014] PIERL 45 [2014] PIERL 44 [2014] PIERL 43 [2013] PIERL 42 [2013] PIERL 41 [2013] PIERL 40 [2013] PIERL 39 [2013] PIERL 38 [2013] PIERL 37 [2013] PIERL 36 [2013] PIERL 35 [2012] PIERL 34 [2012] PIERL 33 [2012] PIERL 32 [2012] PIERL 31 [2012] PIERL 30 [2012] PIERL 29 [2012] PIERL 28 [2012] PIERL 27 [2011] PIERL 26 [2011] PIERL 25 [2011] PIERL 24 [2011] PIERL 23 [2011] PIERL 22 [2011] PIERL 21 [2011] PIERL 20 [2011] PIERL 19 [2010] PIERL 18 [2010] PIERL 17 [2010] PIERL 16 [2010] PIERL 15 [2010] PIERL 14 [2010] PIERL 13 [2010] PIERL 12 [2009] PIERL 11 [2009] PIERL 10 [2009] PIERL 9 [2009] PIERL 8 [2009] PIERL 7 [2009] PIERL 6 [2009] PIERL 5 [2008] PIERL 4 [2008] PIERL 3 [2008] PIERL 2 [2008] PIERL 1 [2008]
2020-07-04
Four Dimensional Strictly Noncircular Unitary ESPRIT Algorithm for L-Shaped Bistatic MIMO Radar
By
Progress In Electromagnetics Research Letters, Vol. 92, 93-100, 2020
Abstract
In this paper, a joint two dimensional (2D) direction of departure (DOD) and 2D direction of arrival (DOA) strictly noncircular (NC) unitary estimation of signal parameters via rotational invariance techniques (ESPRIT) method is proposed for an L-shaped bistatic multiple input multiple output (MIMO) radar. In the case that the incident signals are NC signals, we first utilize the received data vector and its conjugate counterparts to construct a new data vector, and then the unitary ESPRIT method is adopted to estimate the 2D-DODs and 2D-DOAs, which can automatically pair the four dimensional (4D) angle parameters. Simulation results are included to verify the effectiveness of the proposed algorithm.
Citation
Yonghong Liu, Jiaxiong Fang, Tianyi Zhao, Hua Chen, and Weiyue Liu, "Four Dimensional Strictly Noncircular Unitary ESPRIT Algorithm for L-Shaped Bistatic MIMO Radar," Progress In Electromagnetics Research Letters, Vol. 92, 93-100, 2020.
doi:10.2528/PIERL20052401
References

1. Chen, H., X. Zhang, Y. Bai, and J. Ma, "Direction finding for bistatic MIMO radar with noncircular sources," Progress In Electromagnetics Research M, Vol. 66, 173-182, 2018.

2. Chintagunta, S. and P. Ponnusamy, "Spatial and polarization angle estimation of mixed-targets in MIMO radar," Progress In Electromagnetics Research M, Vol. 82, 49-59, 2019.
doi:10.2528/PIERM19041705

3. Wen, F., J. Shi, and Z. Zhang, "Joint 2D-DOD, 2D-DOA, and polarization angles estimation for bistatic EMVS-MIMO radar via PARAFAC analysis," IEEE Transactions on Vehicular Technology, Vol. 69, No. 2, 1626-1638, Feb. 2020.
doi:10.1109/TVT.2019.2957511

4. Liu, S., J. Zhao, Z. Yuan, R. Zhou, M. Xiao, and C. Lu, "Localization for mixed near-field and far-field sources by interlaced nested array," Progress In Electromagnetics Research M, Vol. 82, 107-115, 2019.
doi:10.2528/PIERM19042501

5. Ciuonzo, D., G. Romano, and R. Solimene, "Performance analysis of time-reversal MUSIC," IEEE Trans. on Signal Process., , Vol. 63, No. 10, 2650-2662, May 2015.
doi:10.1109/TSP.2015.2417507

6. Ciuonzo, D. and P. S. Rossi, "Noncolocated time-reversal MUSIC: High-SNR distribution of null spectrum," IEEE Signal Process. Lett., Vol. 24, No. 4, 397-401, Apr. 2017.
doi:10.1109/LSP.2017.2661246

7. Ciuonzo, D., "On time-reversal imaging by statistical testing," IEEE Signal Process. Lett., Vol. 24, No. 7, 1024-1028, Jul. 2017.
doi:10.1109/LSP.2017.2704612

8. Zhang, X., L. Xu, L. Xu, and D. Xu, "Direction of departure (DOD) and direction of arrival (DOA) estimation in MIMO radar with reduced-dimension MUSIC," IEEE Communications Letters, Vol. 14, No. 12, 1161-1163, Dec. 2010.
doi:10.1109/LCOMM.2010.102610.101581

9. Duofang, C., C. Baixiao, and Q. Guodong, "Angle estimation using ESPRIT in MIMO radar," Electron. Lett., Vol. 44, No. 12, 770-771, Jun. 2008.
doi:10.1049/el:20080276

10. Xia, T. Q., "Joint diagonalization based DOD and DOA estimation for bistatic MIMO radar," Signal Process., Vol. 108, 159-166, 2015.
doi:10.1016/j.sigpro.2014.09.010

11. Zheng, G. M. and B. X. Chen, "Unitary dual-resolution ESPRIT for joint DOD and DOA estimation in bistatic MIMO radar," Multidimensional Systems and Signal Processing, Vol. 26, No. 1, 159-178, 2015.
doi:10.1007/s11045-013-0244-5

12. Bencheikh, M. L. and Y. Wang, "Joint DOD-DOA estimation using combined ESPRIT-MUSIC approach in MIMO radar," Electronics Letters, Vol. 46, No. 15, 1081-1083, Jul. 2010.
doi:10.1049/el.2010.1195

13. Zheng, Z. D., J. Zhang, and J. Y. Zhang, "Joint DOD and DOA estimation of bistatic MIMO radar in the presence of unknown mutual coupling," Signal Process., Vol. 92, No. 12, 3039-3048, Dec. 2012.
doi:10.1016/j.sigpro.2012.06.013

14. Xia, T. Q., "Joint diagonalization based 2D-DOD and 2D-DOA estimation for bistatic MIMO radar," Signal Process., Vol. 116, 7-12, 2015.
doi:10.1016/j.sigpro.2015.04.014

15. Xu, L. Y., X. F. Zhang, Z. Z. Xu, X. W. Zeng, and F. Q. Yao, "Joint Doppler frequency, 2D-DOD and 2D-DOA estimation for bistatic MIMO radar in spatial coloured noise," IEEE Trans. on Signal Process., Vol. 102, 1007-1021, 2015.

16. Chen, H., W. Liu, W. P. Zhu, M. N. S. Swamy, and Q. Wang, "Mixed rectilinear sources localization under unknown mutual coupling," Journal of The Franklin Institute (Elsevier), Vol. 356, No. 4, 2372-2394, 2019.
doi:10.1016/j.jfranklin.2019.01.019

17. Abeida, H. and J. P. Delmas, "Direct derivation of the stochastic CRB of DOA estimation for rectilinear source," IEEE Signal Process. Lett., Vol. 24, No. 10, 1522-1526, Oct. 2017.
doi:10.1109/LSP.2017.2744673

18. Bencheikh, M. L. and Y. Wang, "Non circular ESPRIT-Root MUSIC joint DOA-DOD estimation in bistatic MIMO radar," International Workshop on Systems, Signal Processing and Their Applications, 9-11, 2011.

19. Zheng, G. M., J. Tang, and X. Yang, "ESPRIT and unitary ESPRIT algorithms for coexistence of circular and noncircular signals in bistatic MIMO radar," IEEE Access., Vol. 4, 7232-7240, 2016.
doi:10.1109/ACCESS.2016.2624561

20. Guo, Y. D., Y. S. Zhang, J. Gong, and G. M. Zheng, "Direction finding with real-valued ESPRIT for noncircular signal in bistatic MIMO radar," Wireless Personal Communications, Vol. 95, No. 3, 3321-3332, 2017.
doi:10.1007/s11277-017-3999-4

21. Chen, H., C. P. Hou, W. P. Zhu, W. Liu, Y. Y. Dong, Z. J. Peng, and Q. Wang, "ESPRIT-like two-dimensional direction finding for mixed circular and strictly noncircular sources based on joint diagonalization," Signal Processing, Vol. 141, 48-56, 2017.
doi:10.1016/j.sigpro.2017.05.024

22. Chen, H., W. F. Wang, and W. Liu, "Joint DOA, range, and polarization estimation for rectilinear sources with a COLD array," IEEE Wireless Communications Letters, Vol. 8, No. 5, 1398-1401, Sept. 2019.
doi:10.1109/LWC.2019.2919542