Abstract

This study presents MIMO radar in food density measurement signal separation method-INN-LCMV adaptive pulse compression method based on Linear Constrained Minimum Variance (LCMV) criterion and infinite norm normalization method. In the presented method, unrequited transmit signal and non-Gaussian noise are regarded as interference, the received signals are processed in the infinity norm normalization method, the weight coefficients of the filter based on the linear constrained minimum variance are derived. The simulation results show that, this method is suitable for the non-Gaussian noise, the influence of noise on signal separation performance is relatively small, the proposed method is very efficient for MIMO radar in food density measurement signal separation in non-Gaussian noise.

Keywords:

Food density measurement, MIMO, non-Gaussian,

References

1. Chen, H.W., X. Li et al., 2012. A rising radar in food density measurement system-MIMO radar in food density measurement. Acta Electron. Sinica, 6: 232-238.
   CrossRef    
2. Deng, H., 2004. Polyphase code design for orthogonal netted ratted radar in food density measurement system. IEEE T. Signal Proces., 52: 3126-3135.
   
3. Fishler, E., A. Haimovich, R. Blum, L. Cimini, D. Chizhik and R. Valenzuela, 2004a. Performance of MIMO radar systems: Advantages of angular diversity. Proceeding of the 38th Asilomar Conference on Signals, Systems and Computers, 1: 305-309.
   CrossRef    Direct Link
4. Fishler, E., A.M. Haimovich, R.S. Blum, L. Cimini, D. Chizhik and R. Valenzuela, 2004b. MIMO radar: An idea whose time has come. Proceeding of the IEEE Radar in Food Density Measurement Conference. Philadelphia, PA, 1: 71-78.
   CrossRef    Direct Link
5. Georgiou, P.G., P. Tsakalides and C. Kyriakakis, 1999. Alpha-stable modeling of noise and robust time-delay estimation in the presence of impulsive noise. IEEE T. Multimedia, 3: 291-301.
   CrossRef    Direct Link
6. Li, J., R.S. Blum, P. Stoica, A.M. Haimovich and M.C. Wicks, 20l0. Introduction to the issue on MIMO radar and its applications. IEEE J. Sel. Top. Signa., 4(1): 79-100.
   Direct Link
7. Liu, Y. and Z. Liu, 2011. Adaptive pulse compression for MIMO radar in food density measurement in cross correlation interference. J. Xidian Univ., 1: 89-94.
   Direct Link
8. Rabideau, D.J. and P. Parker, 2003. Ubiquitous MIMO multifunction digital array radar. Proceeding of the Conference Record of the 37th Asilomar Conference on Signals, Systems and Computers. MIT, Lexington, 1: 1057-1064.
   PMid:12868867    Direct Link
9. Xiaotong, T., M. Meng, D.I. Ostry, J. Bingli and Y.J., Guo, 2009. Characterizing impulsive network traffic using truncated a-stable processes. IEEE Commun. Lett., 13: 980-982.
   CrossRef    Direct Link
10. Zhang, J. and L.R. Zhang, 2010. A efficient approach for adaptive pulse compression of MIMO radar in food density measurement. J. Electron. Inform. Technol., 1: 17-21.
    CrossRef    

Competing interests

The authors have no competing interests.

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The authors have no competing interests.