2018-10-22
An Array Partitioning Scheme of Airborne Phased-MIMO Radar Based on STAP SINR
By
Progress In Electromagnetics Research Letters, Vol. 79, 95-101, 2018
Abstract
An airborne phased-multiple-input-multiple-output (Phased-MIMO) radar with collocated antenna array is a tradeoff of phased array radar and MIMO radar. Its transmitting array is divided into multiple subarrays that are allowed to be overlapped. In this letter, we mainly study the array partitioning scheme of the airborne Phased-MIMO radar with equal uniform linear subarrays that are fully overlapped on the basis of space-time adaptive processing (STAP). A mathematical formula is derived to determine the number of subarrays and the elements in each subarray according to the principle of maximum STAP signal-to-interference-plus-noise ratio (SINR). The SINR performances corresponding to different partitioning schemes are simulated and discussed to demonstrate the effectiveness of the proposed mathematical formula for array partitioning in the sense of maximum STAP SINR.
Citation
Wei Wang, Lin Zou, and Xuegang Wang, "An Array Partitioning Scheme of Airborne Phased-MIMO Radar Based on STAP SINR," Progress In Electromagnetics Research Letters, Vol. 79, 95-101, 2018.
doi:10.2528/PIERL18081503
References

1. Hassanien, A. and S. A. Vorobyov, "Phased-MIMO radar: A tradeoff between phased-array and MIMO radars," IEEE Trans. Signal Process., Vol. 58, No. 6, 3137-3151, Jun. 2010.
doi:10.1109/TSP.2010.2043976        Google Scholar

2. Melvin, W. L., "A stap overview," IEEE Aerospace and Electronic Systems Magazine, Vol. 19, No. 1, 19-35, Jan. 2004.
doi:10.1109/MAES.2004.1263229        Google Scholar

3. Klemm, R., "Principles of space-time adaptive processing,", The Institution of Engineering and Technology, London, UK, 2006.        Google Scholar

4. Guerci, J. R., Space-time Adaptive Processing for Radar, Artech House, Boston, USA, 2003.

5. Ahmadi, M. and K. Mohamed-pour, "Space-time adaptive processing for phased-multiple-input-multiple-output radar in the non-homogeneous clutter environment," IET Radar, Sonar and Navigation, Vol. 8, No. 6, 585-596, Jun. 2014.
doi:10.1049/iet-rsn.2013.0246        Google Scholar

6. Xie, W., X. Zhang, Y. Wang, and Y. Zhu, "Estimation of clutter degrees of freedom for airborne multiple-input multiple-output-phased array radar," IET Radar, Sonar and Navigation, Vol. 7, No. 6, 652-657, Jun. 2013.
doi:10.1049/iet-rsn.2012.0165        Google Scholar

7. Feng, W., Y. Zhang, and X. He, "Complexity reduction and clutter rank estimation for MIMO-phased STAP radar with subarrays at transmission," Digital Signal Processing, Vol. 60, 296-306, 2017.
doi:10.1016/j.dsp.2016.10.004        Google Scholar

8. Ismail, N. E., S. H. Mahmoud, A. S. Hafez, and T. Reda, "A new phased MIMO radar partitioning schemes," 2014 IEEE Aerospace Conference, 1-7, Big Sky, MT, USA, 2014.        Google Scholar

9. Alieldin, A., Y. Huang, and W. M. Saad, "Optimum partitioning of a Phased-MIMO radar array antenna," IEEE Antennas and Wireless Propagation Letters, Vol. 16, 2287-2290, 2017.
doi:10.1109/LAWP.2017.2714866        Google Scholar

10. Khan, W., I. M. Qureshi, A. Basit, and M. Zubair, "Hybrid phased MIMO radar with unequal subarrays," IEEE Antennas and Wireless Propagation Letters, Vol. 14, 1702-1705, 2015.
doi:10.1109/LAWP.2015.2419279        Google Scholar