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1701952 Vol 3 · Issue 8 Download Paper

Waveform Design For MIMO Radar Systems

David Ebregbe Ebimobowei Tonbie

Subject area: Science,Engineering and Technology  ·  Area of research: Electrical and Electronic engineering

Abstract

Waveform design is critical to the realization of a Multiple Input Multiple Output (MIMO) radar system. If the wave forms being transmitted are perfectly orthogonal, the virtual array consists of more elements than the transmit array and this provides additional degrees of freedom which improves performance. The correlation properties of the wave forms transmitted determine the characteristics of the system. In this paper, a binary orthogonal waveform with low auto correlation and cross correlation properties is designed. Orthogonality in transmitted wave forms is required in MIMO radar systems to enable the use of match filtering at the outputs to separate the different transmit paths. Exploiting the orthogonality of the walsh hadamard matrix based on non identical walsh functions, the simulated annealing statistical optimization tool is used to obtain the orthogonal signal set with the desired low correlation properties.

Keywords

Auto correlation, Multiple Input Multiple Output (MIMO) radar, Match filtering, Simulated annealing, Virtual array.

References

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[2] Levanon N. & Mozeson E. (2004). Radar Signals,Wiley-IEEE Press.

[3] Peyton Z & Peebles Jr. (1998) Radar Principles. John Wiley and Sons.

[4] Mahafza B.R. (2000) Radar Systems Analysis and Design using MATLAB, Chapman and Hall/CRC.

[5] Deng H. (1996) Synthesis of binary sequences with good autocorrelation and cross-correlation properties by simulated annealing. IEEE Trans. Aerosp. Electron. Syst., 32(l):98-107

[6] Forsythe K. W & Bliss D.W, (2005) Waveform correlation and optimization issues for MIMO radar, 39th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, pp. 1306–1310.

[7] Khan H A, & Edwards D, Doppler problems in orthogonal MIMO radars. IEEE Conference on Radar,Vol.l:24-27. 2006

[8] Hua G & Abeysekera S.S. (2013) Receiver Design for Range and Doppler Sidelobe Suppression Using MIMO and Phased-Array Radar. IEEE Transactions On Signal Processing, Vol. 61, No. 6.

[9] De Leon F. A & Marciano J.J. (2006), Application of MUSIC,ESPRIT and SAGE Algorithms for narrowband signal detection and localization, IEEE Region 10 conf. pp 1-4.

[10] Kirkpatrick S, Gelatt C.D, & Vecchi M.P. (1983). Optimization by simulated annealing, Science, vol. 220, pp. 671-680.

[11] Deng H. (2004) Polyphase code design for orthogonal netted radar systems. IEEE Trans. on Signal Processing, 52(1l):3126-135

[12] Bo L, Zishu H., Jian K, & Liu.B (2006) Polyphase Orthogonal Code Design for MIMO Radar Systems, CIE '06. International Conference on Radar I: 113-116.

How to cite this paper

David Ebregbe , Ebimobowei Tonbie "Waveform Design For MIMO Radar Systems" Iconic Research And Engineering Journals Volume 3 Issue 8 2020 Page 132-138
David Ebregbe , Ebimobowei Tonbie "Waveform Design For MIMO Radar Systems" Iconic Research And Engineering Journals, vol. 3, no. 8, Feb. 2020
David Ebregbe , Ebimobowei Tonbie (2020). Waveform Design For MIMO Radar Systems. Iconic Research And Engineering Journals, 3(8).
David Ebregbe , Ebimobowei Tonbie "Waveform Design For MIMO Radar Systems" Iconic Research And Engineering Journals, vol. 3, no. 8, Feb. 2020.
@article{1701952,
      author = {David Ebregbe , Ebimobowei Tonbie},
      title = {Waveform Design For MIMO Radar Systems},
      journal = {Iconic Research And Engineering Journals},
      year = {2020},
      volume = {3},
      number = {8},
      pages = {132-138},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1701952.pdf},
      abstract = {Waveform design is critical to the realization of a Multiple Input Multiple Output (MIMO) radar system. If the wave forms being transmitted are perfectly orthogonal, the virtual array consists of more elements than the transmit array and this provides additional degrees of freedom which improves performance. The correlation properties of the wave forms transmitted determine the characteristics of the system. In this paper, a binary orthogonal waveform with low auto correlation and cross correlation properties is designed. Orthogonality in transmitted wave forms is required in MIMO radar systems to enable the use of match filtering at the outputs to separate the different transmit paths. Exploiting the orthogonality of the walsh hadamard matrix based on non identical walsh functions, the simulated annealing statistical optimization tool is used to obtain the orthogonal signal set with the desired low correlation properties.},
      keywords = {Auto correlation, Multiple Input Multiple Output (MIMO) radar, Match filtering, Simulated annealing, Virtual array.},
      month = {February},
  }