A Kind of Sidelobe Suppression Approach with Effective Reduction of Computation Cost for Beam Scanning at Subarray Level

Hu Hang; Liu Wei-hui; Wu Qun

doi:10.3724/SP.J.1146.2008.00745

Volume 31 Issue 8

Dec. 2010

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Hu Hang, Liu Wei-hui, Wu Qun. A Kind of Sidelobe Suppression Approach with Effective Reduction of Computation Cost for Beam Scanning at Subarray Level[J]. Journal of Electronics & Information Technology, 2009, 31(8): 1867-1871. doi: 10.3724/SP.J.1146.2008.00745

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Hu Hang, Liu Wei-hui, Wu Qun. A Kind of Sidelobe Suppression Approach with Effective Reduction of Computation Cost for Beam Scanning at Subarray Level[J]. Journal of Electronics & Information Technology, 2009, 31(8): 1867-1871. doi: 10.3724/SP.J.1146.2008.00745

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A Kind of Sidelobe Suppression Approach with Effective Reduction of Computation Cost for Beam Scanning at Subarray Level

doi: 10.3724/SP.J.1146.2008.00745

Received Date: 2008-06-04
Rev Recd Date: 2009-04-02
Publish Date: 2009-08-19

Abstract

Abstract

In subarray level phased array, it requires digital beam scanning at subarray level in many applications, for instance, multiple beamforming. In this case, the suppression of pattern sidelobe is critical, and the key is construction of the weighting network at subarray level. This paper considers the whole array as a super array and each subarray as a super element. Based on the concept adopting super element patterns to express approximately original subarray patterns, the dimension of each matrix which is required for constructing weighting network could reduce to the same value as subarray numbers of the array compared to the original value equaling to element numbers. Consequently, the computation cost is remarkably reduced. And all the obtained new subarray patterns are quite similar in forms, widths and gains of mainbeams. For subarray level beam scanning, the proposed approach could reduce sidelobe of array pattern to certain extent. Simulation results demonstrate its validity.

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References(1)

References

Nickel U. Subarray configurations for digital beamformingwith low sidelobes and adaptive interference suppression [C].Proc. IEEE International Radar Conference, Alexandria,USA, 1995: 714-719.[2]Nickel U. Super-Resolution and Jammer Suppression withBroadband Arrays for Multi-function Radar [M]. InApplications of Space-Time Adaptive Processing , Chapt16, R.Klemm(ed), IEE Press, 2004: 543-599.[3]Hu Hang and Qin Wei-cheng. Research on subarraypartitioning of planar phased array with adaptive digitalbeamforming[C]. Proc. IEEE MAPE2007, Beijing, China,2007: 691-694.[4]胡航, 景秀伟. 二维子阵级相控阵空间谱估计方法[J]. 电子学报, 2007, 35(3): 415-419.Hu Hang and Jing Xiu-wei. 2-D spatial spectrum estimationmethods at subarray level for phased array[J]. ActaElectronica Sinica, 2007, 35(3): 415-419.[5]胡航, 邓新红. 二维子阵级ADBF及方向图控制方法研究[J].电子与信息学报.2008, 30(4):881-884浏览[6]胡航, 邓新红. 子阵级平面相控阵ADBF 的旁瓣抑制方法[J].电波科学学报, 2008, 23(1): 201-205.Hu Hang and Deng Xin-hong. The sidelobe suppressionmethod for ADBF at subarray level with planar phasedarray[J]. Chinese Journal of Radio Science, 2008, 23(1):201-205.[7]胡航, 李绍滨. 重叠子阵平面相控阵ADBF的方向图控制[J].系统工程与电子技术, 2007, 29(12): 2001-2005.Hu Hang and Li Shao-bin. The pattern control for planarphased array ADBF with overlapped subarrays[J]. SystemsEngineering and Electronics, 2007, 29(12): 2001-2005.[8]Nickel U. Properties of digital beamforming with subarrays[C]. Proc. International Conference on Radar, Beijing, China,2006: 331-335.[9]Farina A, Golino G, and Immediata S, et al.. Techniques todesign sub-arrays for radar antennas[C]. Proc. InternationalConference on Antennas and Propagation, Exeter, England,2003: 17-23.

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