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An Effective Waveform Sorting Algorithm of MIMO Radar Based on Matched Filter

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Abstract

The waveform sorting is an important part of MIMO radar countermeasures reconnaissance system which has better performance than the traditional radar system in many aspects. For the problem of sorting waveform at MIMO radar receiver, it is studied that waveforms in different channel can be separated effectively by using the method of matched filter. It is designed MIMO radar signals with orthogonal phase coding which has with good related features to conduct waveform sorting simulation experiment. The simulation results show that the sorting accuracy of Matched Filter algorithm is superior to the traditional sorting algorithms if the signal to noise ratio is less than 5 dB. By this algorithm, waveforms can clearly be sorted out of different channel. It is not sensitive to the noise and still has a good separation effect under the condition of low signal-to-noise ratio, the pulse jitter has no effect on the sorting algorithm. It has better applicability.

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References

  1. Tarokh, V., Seshadri, N., & Calderbank, A. R. (1998). Space-time codes for high data rate wireless communication: Performance criterion and code construction. IEEE Transaction on Information Theory, 44(2), 744–765.

    Article  MathSciNet  Google Scholar 

  2. Fishier, E., Haimovich, A., & Blum, R., et al. (2004). MIMO radar: An idea whose time has come. In Proceeding of the IEEE Radar Conference, Philadelphia, pp. 71–78.

  3. Bliss, D. W., Forsythe, K. W. (2003). Multiple-input multiple-output radar and imaging: Degrees of freedom and resolution. In Systems and Computers, Proceeding of 37th Asilomar Conference on Signals, Pacific Grove, pp. 54–59.

  4. Fishier, E., Haimovich, A., Blum, R., et al. (2006). Spatial diversity in radars-models and detection performance. IEEE Transaction on Signal Processing, 54(3), 823–838.

    Article  Google Scholar 

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

    Article  Google Scholar 

  6. Gogineni, S., & Nehorai, A. (2010). Polarimetric MIMO radar with distributed antennas for target detection. IEEE Transactions on Signal Processing, 58(3), 1689–1697.

    Article  MathSciNet  Google Scholar 

  7. Rogers, J. A. V. (1985). ESM processor system for high pulse density radar environment. IEEE Signal Processing, 132(7), 621–625.

    Google Scholar 

  8. Nishiguchi, K. (1983). A new method for estimation of pulse repetition intervals. National Convention Record of IECE of Japan Information and Systems Section, 9(1), 230–247.

    Google Scholar 

  9. Milojević, D. J., & Popović, B. M. (1992). Improved algorithm for the deinterleaving of radar pulses. Radar and Signal Processing IEE Proceedings F, 139(1), 98–104.

    Article  Google Scholar 

  10. Nishiguchi, K., & Kobayashi, M. (2000). Improved algorithm for estimating pulse repetition intercals. IEEE Transactions on Aerospace and Electronic Systems, 36(2), 407–421.

    Article  Google Scholar 

  11. Yu, Y., Petropulu, A. P., Poor, H. V. (2012). Power allocation for CS-based collocated MIMO radar system. In Sensor Array and Multichannel Signal Processing Workshop (SAM), IEEE 7th, pp. 217–220, Hoboken.

  12. Friedlander, B. (2007). Waveform design for MIMO radars. IEEE Transactions on Aerospace and Electronic Systems, 43(5), 1227–1238.

    Article  Google Scholar 

  13. Yang, X., Song, G., Qian, Y., et al. (2014). Several Methods of radar signal sorting and tracking. Modern Radar, 36(3), 43–48.

    Google Scholar 

Download references

Acknowledgements

This work is sponsored by the National Natural Science Foundation of China (Grant No. 61401173).

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Correspondence to Xiaoqi Yin.

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Yin, X., Qian, J. & Yang, Y. An Effective Waveform Sorting Algorithm of MIMO Radar Based on Matched Filter. Wireless Pers Commun 103, 505–517 (2018). https://doi.org/10.1007/s11277-018-5457-3

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  • DOI: https://doi.org/10.1007/s11277-018-5457-3

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