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DOD and DOA estimation using the spatial smoothing in MIMO radar with the EmV sensors

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Abstract

This paper deals with the directions of departure (DOD) and directions of arrival (DOA) estimation of coherent and noncoherent targets in bistatic MIMO radar with the electromagnetic vector (EmV) sensors. The high-resolution eigenspace-based methods such as, estimation of signal parameters via rotational invariance technique (ESPRIT), multiple signal classification, etc., fails to estimate DOD and DOA of fully or partially correlated targets. In order to employ these methods, a new pre-processing method is developed based on the spatial smoothing in MIMO radar with the EmV sensors. Then, the directions are estimated using the ESPRIT algorithm. Monte-Carlo simulations are performed to investigate the estimation-accuracy and resolution-capability of the proposed approach, and to compare with no pre-processing and the existing method. The simulation result shows that, the proposed methodology improves the performance significantly.

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References

  • Bencheikh, M. L., & Wang, Y. (2010). Joint DOD–DOA estimation using combined ESPRIT–MUSIC approach in MIMO radar. Electronics Letters, 46(15), 1081–1083.

    Article  Google Scholar 

  • Cao, Y., Zhang, Z., Dai, F., & Xie, R. (2012). Direction of arrival estimation for monostatic multiple-input multiple-output radar with arbitrary array structures. IET Radar, Sonar and Navigation, 6(7), 679–686.

    Article  Google Scholar 

  • Chan, F. K. W., So, H. C., Huang, L., & Huang, L. T. (2015). Parameter estimation and identifiability in bistatic multiple-input multiple-output radar. IEEE Transactions on Aerospace and Electronic Systems, 51(3), 2047–2056.

    Article  Google Scholar 

  • Chen, J., Gu, H., & Su, W. (2010). A new method for joint DOD and DOA estimation in bistatic MIMO radar. Signal Processing, 90(2), 714–718.

    Article  MATH  Google Scholar 

  • Chintagunta, S., & Palanisamy, P. (2015). Coherent targets DOA estimation with electromagnetic vector sensors in MIMO radar. In International conference on signal processing, communication and networking (pp. 1–4), Chennai, India.

  • Duofang, C., Baixiao, C., & Guodong, Q. (2008). Angle estimation using ESPRIT in MIMO radar. Electronics Letters, 44, 770–771.

    Article  Google Scholar 

  • Friedlander, B. (2013). On the role of waveform diversity in MIMO radar. Digital Signal Processing, 23(3), 712–721.

    Article  MathSciNet  Google Scholar 

  • Gorji, A. A., Tharmarasa, R., & Kirubarajan, T. (2010). A new co-located MIMO radar system for multi-target tracking and localization. In 13th international conference on information fusion (pp. 1–8), Edinburgh.

  • Gu, C., He, J., Zhu, X., & Liu, Z. (2010). Efficient 2D DOA estimation of coherent signals in spatially correlated noise using electromagnetic vector sensors. Multidimensional Systems and Signal Processing, 21(3), 239–254.

    Article  MathSciNet  MATH  Google Scholar 

  • Hong, S., Wan, X., & Ke, H. (2015). Spatial difference smoothing for coherent sources location in MIMO radar. Signal Processing, 109, 69–83.

    Article  Google Scholar 

  • Jiang, H., Zhang, J. K., & Wong, K. M. (2015). Joint DOD and DOA estimation for bistatic MIMO radar in unknown correlated noise. IEEE Transactions on Vehicular Technology, 64(11), 5113–5125.

    Article  Google Scholar 

  • Jin, M., Liao, G., & Li, J. (2009). Joint DOD and DOA estimation for bistatic MIMO radar. Signal Processing, 89(2), 244–251.

    Article  MATH  Google Scholar 

  • Jinli, C., Hong, G., & Weimin, S. (2008). Angle estimation using ESPRIT without pairing in MIMO radar. Electronics Letters, 44, 1422–1423.

    Article  Google Scholar 

  • Lehmann, N. H., Fishler, E., Haimovich, A. M., Blum, R. S., Chizhik, D., Cimini, L. J., et al. (2007). Evaluation of transmit diversity in MIMO radar direction finding. IEEE Transactions on Signal Processing, 55(5), 2215–2225.

    Article  MathSciNet  MATH  Google Scholar 

  • Li, J., & Stoica, P. (2007). MIMO radar with colocated antennas. IEEE Signal Processing Magazine, 24(5), 106–114.

    Article  Google Scholar 

  • Liu, Z., He, J., & Zhong, L. (2011). Computationally efficient DOA and polarization estimation of coherent sources with linear electromagnetic vector sensor array. EURASIP Journal on Advances in Signal Processing, 2011(1), 1–10.

    Article  Google Scholar 

  • Oh, D., Li, Y. C., Khodjaev, J., Chong, J. W., & Lee, J. H. (2015). Joint estimation of direction of departure and direction of arrival for multiple-input multiple-output radar based on improved joint ESPRIT method. IET Radar, Sonar and Navigation, 9(3), 308–317.

    Article  Google Scholar 

  • Roy, R., & Kailath, T. (1989). ESPRIT-estimation of signal parameters via rotational invariance techniques. IEEE Transactions on Acoustics, Speech, and Signal Processing, 37(7), 984–995.

    Article  MATH  Google Scholar 

  • Tabrikian, J., & Bekkerman. I. (2005). Transmission diversity smoothing for multi-target localization radar/sonar systems. In Proceedings of international conference on acoustics, speech, and signal processing (ICASSP) (Vol. 4, pp. iv/1041–1044).

  • Thompson, J. S., Grant, P. M., & Mulgrew, B. (1996). Performance of spatial smoothing algorithms for correlated sources. IEEE Transactions on Signal Processing, 44(4), 1040–1046.

    Article  Google Scholar 

  • Xie, R., Liu, Z., & Wu, J. (2012). Direction finding with automatic pairing for bistatic MIMO radar. Signal Processing, 92(1), 198–203.

    Article  Google Scholar 

  • Yuan, X. (2014). Coherent sources direction finding and polarization estimation with various compositions of spatially spread polarized antenna arrays. Signal Processing, 102, 265–281.

    Article  Google Scholar 

  • Zheng, G. (2017). A novel spatially spread electromagnetic vector sensor for high-accuracy 2-D DOA estimation. Multidimensional Systems and Signal Processing, 28(1), 23–48. doi:10.1007/s11045-015-0327-6.

    Article  MathSciNet  MATH  Google Scholar 

  • Zheng, G., & Chen, B. (2015). Unitary dual-resolution ESPRIT for joint DOD and DOA estimation in bistatic MIMO radar. Multidimensional Systems and Signal Processing, 26, 159–178.

    Article  MathSciNet  MATH  Google Scholar 

  • Zheng, G., Chen, B., & Yang, M. (2012). Unitary ESPRIT algorithm for bistatic MIMO radar. Electronics Letters, 48(3), 179–181.

    Article  Google Scholar 

  • Zhang, W., Liu, W., Wang, J., & Wu, S. (2013). DOA estimation of coherent targets in MIMO radar. In: International conference on acoustics, speech and signal processing (ICASSP) (pp. 3929–3933).

  • Zhang, W., Liu, W., Wang, J., & Wu, S. (2014). Joint transmission and reception diversity smoothing for direction finding of coherent targets in MIMO radar. IEEE Journal of Selected Topics in Signal Processing, 8(1), 115–124.

    Article  Google Scholar 

  • Zoltowski, M. D., & Wong, K. T. (2000). ESPRIT-based 2-D direction finding with a sparse uniform array of electromagnetic vector sensors. IEEE Transactions on Signal Processing, 48(8), 2195–2204.

    Article  Google Scholar 

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Acknowledgements

We thank the DST-FIST-sponsored Bioinformatics laboratory at the International Institute of Information Technology, Bhubaneswar, India for equipment support to perform the simulations of this research paper.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli, 620015, India

    Srinivasarao Chintagunta & P. Palanisamy

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  1. Srinivasarao Chintagunta
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  2. P. Palanisamy
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Correspondence to Srinivasarao Chintagunta.

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Chintagunta, S., Palanisamy, P. DOD and DOA estimation using the spatial smoothing in MIMO radar with the EmV sensors. Multidim Syst Sign Process 29, 1241–1253 (2018). https://doi.org/10.1007/s11045-017-0500-1

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  • DOI: https://doi.org/10.1007/s11045-017-0500-1

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