Skip to main content
SpringerLink
Log in

Collocated ULA-MIMO Radar Waveform Design with Coherent Detection of Targets in Background Clutter

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

MIMO radars are special kind of multi-static radars in which by using independent signal waveform transmission, desired spatial power patterns can be made. In the receiver side, coherent or non-coherent detection can be used. Coherent detection needs time synchronization between transmit and receive antennas to be able to get coherency gain of this kind of detection. In this paper, we focus on detecting targets nearby signal dependent interfering objects (clutter) by utilizing coherent detection. Most of the previous works in this area, assume orthogonal waveform transmission, which may result in loosing one degree of freedom to achieve real optimum waveform. However, this orthogonality can help to separate each transmitted waveform in the receiver. To reach maximum degree of freedom, here we assume that generally our transmitted signals are not orthogonal. In this paper, by using coherent detection and considering phase difference of received signals, we try to discriminate targets which are close to interfering objects and far away from the receiver. Simulation results show that by using this proposed method, SINR levels up to 25 dB can be achieved, for targets whose distances from interference are even more than multiples of wavelength of the transmitted waveform.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Frankford, M. T., Stewart, K. B., Majurec, N., & Johnson, J. T. (2014). Numerical and experimental studies of target detection with MIMO radar. IEEE Transactions on Aerospace and Electronic Systems, 50(2), 1569–1577.

    Article  Google Scholar 

  2. Haghnegahdar, M., Imani, S., Ghorashi, S. A., & Mehrshahi, E. (2017). A new iterative approach in SINR improvement of MIMO radars by using combination of orthogonal waveforms. Wireless Personal Communications, 97(2), 2069–2085.

    Article  Google Scholar 

  3. Haghnegahdar, M., Imani, S., Ghorashi, S. A., & Mehrshahi, E. (2017). SINR enhancement in colocated MIMO radar using transmit covariance matrix optimization. IEEE Signal Processing Letters, 24(3), 339–343.

    Article  Google Scholar 

  4. Imani, S., Ghorashi, S. A., & Bolhasani, M. (2016). SINR maximization in colocated MIMO radars using transmit covariance matrix. Signal Processing, 119, 128–135.

    Article  Google Scholar 

  5. Skolnik, M. I. (1990). Radar handbook (2nd ed.). USA: McGraw Hill.

    Google Scholar 

  6. Xue, X., Chen, Z., Wang, Q., & Zhu, X. (2015). Moving target detection of OFDM-MIMO radar based on ST-DFT. Electronics Letters, 52(2), 150–152.

    Article  Google Scholar 

  7. Ahmed, S., & Alouini, M. (2016). A survey of correlated waveform design for multifunction software radar. IEEE Aerospace and Electronic Systems Magazine, 31(3), 19–31.

    Article  Google Scholar 

  8. Haimovich, A. M., Blum, R. S., & Cimini, L. J. (2008). MIMO radar with widely separated antennas. IEEE Signal Processing Magazine, 25(1), 116–129.

    Article  Google Scholar 

  9. Godrich, H., Haimovich, A. M., & Blum, R. S. (2010). Target localization accuracy gain in MIMO radar-based systems. IEEE Transactions on Information Theory, 56(6), 2783–2803.

    Article  MathSciNet  Google Scholar 

  10. Li, H., & Himed, B. (2010). Transmit subaperturing for MIMO radars with co-located antennas. IEEE Journal of Selected Topics in Signal Processing, 4(1), 55–65.

    Article  Google Scholar 

  11. Imani, S., Nayebi, M. M., & Ghorashi, S. (2017). Transmit signal design in co-located MIMO radar without covariance matrix optimization. IEEE Transactions on Aerospace and Electronic Systems, 53(5), 2178–2186.

    Article  Google Scholar 

  12. Chen, P., Zheng, L., Wang, X., Li, H., & Wu, L. (2017). Moving target detection using colocated MIMO radar on multiple distributed moving platforms. IEEE Transactions on Signal Processing, 65(17), 4670–4683.

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Cognitive Telecommunication Research Group, Department of Electrical Engineering, Shahid Beheshti University, G. C., Tehran, Iran

    Mohammad Haghnegahdar, Esfandiar Mehrshahi & Seyed Ali Ghorashi

Authors
  1. Mohammad Haghnegahdar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Esfandiar Mehrshahi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Seyed Ali Ghorashi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Seyed Ali Ghorashi.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Haghnegahdar, M., Mehrshahi, E. & Ghorashi, S.A. Collocated ULA-MIMO Radar Waveform Design with Coherent Detection of Targets in Background Clutter. Wireless Pers Commun 103, 2005–2018 (2018). https://doi.org/10.1007/s11277-018-5893-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-018-5893-0

Keywords

Search

Navigation