SCIENCE CHINA Information Sciences, Volume 62 , Issue 4 : 040305(2019) https://doi.org/10.1007/s11432-018-9722-8

Colocated MIMO radar waveform design for angular statistical resolution limit in the context of hypothesis testing

More info
  • ReceivedAug 31, 2018
  • AcceptedDec 6, 2018
  • PublishedMar 4, 2019


There is no abstract available for this article.


This work was supported by National Key Research and Development Program of China (Grant No. 2016YFA0302102) and National Natural Science Foundation of China (Grant No. 61501486).


Appendix A.


[1] El Korso M N, Boyer R, Renaux A. On the asymptotic resolvability of two point sources in known subspace interference using a GLRT-based framework. Signal Processing, 2012, 92: 2471-2483 CrossRef Google Scholar

[2] El Korso M N, Boyer R, Renaux A. Statistical Resolution Limit for Source Localization With Clutter Interference in a MIMO Radar Context. IEEE Trans Signal Process, 2012, 60: 987-992 CrossRef ADS Google Scholar

[3] Zhu W, Tang J, Wan S. Angular resolution limit of two closely-spaced point sources based on information theoretic criteria. In: Proceedings of 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Florence, 2014. 86--90. Google Scholar

[4] Zhang Y L, Zhu W, Tang B. Angular Statistical Resolution Limit of Two Closely-Spaced Point Targets: A GLRT-based Study. IEEE Access, 2018, 6: 75924-75936 CrossRef Google Scholar

[5] Yang Y, Blum R S. MIMO radar waveform design based on mutual information and minimum mean-square error estimation. IEEE Trans Aerosp Electron Syst, 2007, 43: 330-343 CrossRef ADS Google Scholar

[6] Zhu W, Tang J. Robust Design of Transmit Waveform and Receive Filter For Colocated MIMO Radar. IEEE Signal Process Lett, 2015, 22: 2112-2116 CrossRef ADS arXiv Google Scholar

[7] Tang B, Naghsh M M, Tang J. Relative Entropy-Based Waveform Design for MIMO Radar Detection in the Presence of Clutter and Interference. IEEE Trans Signal Process, 2015, 63: 3783-3796 CrossRef ADS Google Scholar