Airborne bistatic radar beam domain clutter suppression method

被引：0
|
作者：
Yang Y. [1 ]
Wu J. [1 ]
Liang Y. [2 ]
机构：
[1] School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen
[2] National Laboratory of Radar Signal Processing, Xidian University, Xi'an
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2024年 / 46卷 / 06期
关键词：
airborne bistatic radar; beam domain; clutter compensation; clutter suppression;
D O I：
10.12305/j.issn.1001-506X.2024.06.11
中图分类号：
学科分类号：
摘要：
The calculation amount of clutter compensation and suppression algorithm in array element domain increases sharply when the number of array elements increases. The spatial-domain reduced-dimensional scheme of simultaneous multiple-beam reception can significantly reduce the complexity of the system, but the non-stationary property of airborne bistatic radar clutter in the beam domain brings great difficulties to clutter suppression, and there is currently no relevant research on the beam domain compensation method. To solve the above problems, this paper proposes a non-stationary clutter suppression method for airborne bistatic radar which is suitable for the beam domain. By constructing a range-dependent space-time interpolation matrix, the echo data of different range gates is interpolated differently, and the beam domain range-dependent compensation is realized. Then, the beam domain space-time adaptive processing (STAP) method is adopted for the compensated data, which achieves effective clutter suppression while reducing complexity. Simulation experiments verify the effectiveness and feasibility of this method. © 2024 Chinese Institute of Electronics. All rights reserved.
引用
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页码：1935 / 1945
页数：10
相关论文
共 39 条
  • [1] XIE W C, WANG Y L, ZHANG B H, Et al., Clutter suppression for bistatic airborne radar with range ambiguity, Proc. of the IEEE CIE International Conference on Radar, pp. 1893-1897, (2011)
  • [2] LIU J H, LIAO G S., Spaceborne-airborne bistatic radar clutter modeling and analysis, Proc. of the IEEE CIE International Conference on Radar, pp. 915-918, (2011)
  • [3] KLINTBERG J, MCKELVE T, DAMMERT P., Mitigation of ground clutter in airborne bistatic radar systems, Proc. of the IEEE 11th Sensor Array and Multichannel Signal Processing Workshop, (2020)
  • [4] BRENNAM L E, MALLETT J D, REED I S, Theory of adaptive radar, IEEE Trans.on Aerospace and Electronic Systems, 9, 2, pp. 237-251, (1973)
  • [5] LIU M X, WNAG X G, ZOU L, Robust STAP with reduced mutual coupling and enhanced DOF based on super nested sampling structure, IEEE Access, 7, pp. 175420-175428, (2019)
  • [6] SUN G H, HE Z S, TONG J, Et al., Mutual information-based waveform design for MIMO radar space-time adaptive processing, IEEE Trans.on Geoscience and Remote Sensing, 59, 4, pp. 2909-2921, (2021)
  • [7] PANG X J, ZHAO Y B, CAO C H, Et al., STAP method based on atomic norm minimization with array amplitude-phase error calibration, Systems Engineering and Electronics, 32, 1, pp. 21-30, (2021)
  • [8] LIU C, WNAG T, ZHANG S G, Et al., A clutter suppression algorithm via weighted ℓ 2-norm penalty for airborne radar, IEEE Signal Processing Letters, 29, pp. 1522-1525, (2022)
  • [9] KLINTBERG J, MCKELVEY T, DAMMERT P., A parametric generalized likelihood ratio test for airborne bistatic radar systems, Proc. of the IEEE Radar Conference, (2022)
  • [10] SUN G H, LI M, TONG J, Et al., Structured clutter covariance matrix estimation for airborne MIMO radar with limited trai-ning data, IEEE Geoscience and Remote Sensing Letters, 19, (2022)
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