IEIE Transactions on Smart Processing and Computing

The Institute of Electronics and Information Engineers (대한전자공학회)
권호 표지
DOI QR코드

DOI QR Code

Maximum Power Waveform Design for Bistatic MIMO Radar System

  • Shin, Hyuksoo (Department of Computer and Communication Engineering, Korea University) ;
  • Yeo, Kwang-Goo (Department of Computer and Communication Engineering, Korea University) ;
  • Yang, Hoongee (Department of Electric Wave Engineering, Gwangwoon University) ;
  • Chung, Youngseek (Department of Electric Wave Engineering, Gwangwoon University) ;
  • Kim, Jongman (Agency for Defense Development) ;
  • Chung, Wonzoo (Department of Computer and Communication Engineering, Korea University)
  • Received : 2013.12.20
  • Accepted : 2014.05.12
  • Published : 2014.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper we propose a waveform design algorithm that localizes the maximum output power in the target direction. We extend existing monostatic radar optimal waveform design schemes to bistatic multiple-input multiple-output (MIMO) radar systems. The algorithm simultaneously calculates the direction of departure (DoD) and the direction of arrival (DoA) using a two-dimensional multiple signal classification (MUSIC) method, and successfully localizes the maximum transmitted power to the target locations by exploiting the calculated DoD. The simulation results confirm the performance of the proposed algorithm.

Keywords

References

  1. Fuhrmann, D.R. and San Antonio, G., "Transmit beamforming for MIMO radar systems using partial signal correlation," Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on, Pacific Grove, CA, USA, November, 2004.
  2. Stoica Petre, Jian Li, Yao Xie, "On Probing Signal Design For MIMO Radar," Signal Processing, IEEE Transactions, vol. 55, no. 8, pp. 4151-4161, Aug, 2007. https://doi.org/10.1109/TSP.2007.894398
  3. Haimovich, A.M. ; AEL Ind., Lansdale ; Blum, R.S. ; Cimini, L.J., "MIMO Radar with Widely Separated Antennas," Signal Processing Magazine, IEEE, vol. 25, pp.116-129, January 2008. https://doi.org/10.1109/MSP.2008.4408448
  4. P. Stoica, H. Li, and J. Li, "A new derivation of the APES filter," IEEE Signal Processing Letters, vol. 6, pp. 205-206, August 1999. https://doi.org/10.1109/97.774866
  5. E. J. Kelly, "An adaptive detection algorithm," IEEE Transactions on Aerospace and Electronics Systems, vol. 22, pp. 115-127, March 1986.
  6. P. Stoica, Z. Wang, and J. Li, "Robust Capon beamforming," IEEE Signal Processing Letters, vol. 10, pp. 172-175, 2003. https://doi.org/10.1109/LSP.2003.811637
  7. Xiaofei Zhang, Lingyun Xu, Lei Xu, Dazhuan Xu, "Direction of Departure (DOD) and Direction of Arrival (DOA) Estimation in MIMO Radar with Reduced-Dimension MUSIC," IEEE COMUNICATION LETTER, vol. 14, no. 12, pp. 1161-1163, December, 2010. https://doi.org/10.1109/LCOMM.2010.102610.101581
  8. Jin He, Swamy, M.N.S., Ahmad, M.O., "Joint DOD and DOA Estimation for MIMO Array With Velocity Receive Sensors," Signal Processing Letters, vol. 18, no. 7, pp. 399-402, May, 2011. https://doi.org/10.1109/LSP.2011.2152393
  9. Stoica Petre, Ganesan, G., "Maximum-SNR spatialtemporal formatting designs for MIMO channels," Signal Processing, IEEE Transactions, vol. 50, no. 12, pp. 3036-3042, December, 2002. https://doi.org/10.1109/TSP.2002.805266
  10. Jian Li, Stoica Petre, MIMO RADAR SIGNAL PROCESSING, A John Wiley & Sons, Inc., 2009.
  11. Luzhou Xu, Jian Li, Petre Stoica, "RADAR IMAGING VIA ADAPTIVE MIMO TECHNI QUES," 14th European Signal Processing Conference (EUSIPCO 2006), Florence, Italy, September 4-8, 2006.