Clutter Modeling and Characteristic Analysis for Airborne MIMO Radar

Abstract:

For the issue of MIMO airborne radar clutter modeling in different environment conditions, a clutter modeling method based on composite model is proposed. It builds different types of clutter model through the changes of model parameters. The clutter model consists of clutter amplitude distribution model, and clutter cell scattering model. After considering the error factors such as element error, channel error, clutter fluctuation, a clutter modeling method based on composite model under error conditions is proposed. Finally, the computer simulation is made about the amplitude, the back-scatter coefficient, error factors, the space-time MV spectrum and the characteristic spectrum of different types of clutter through changing the model parameters. The simulation results show that: In ideal conditions, the Clutter Spectrum has good space-time characteristic, but in error conditions, the clutter fluctuates tempestuously, and in different environment conditions the fluctuation degree is different.

• Periodical: Advanced Materials Research (Volumes 989-994)
• Pages: 3963-3967
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.989-994.3963
• Online since: July 2014
• Authors: Lin Hao*, Yong Shun Zhang, Zhe Li, Jie Xu
• Keywords: Airborne MIMO Radar, Clutter Characteristics, Clutter Modeling, Error Conditions

References

[1] Chengqing Lin, Xiubin Zhao, Guangjing Zhang. The modeling and simulations of radar[J]. Modern Defence Technology, 2010, 8（38）, 116-121.

[2] Baihua Zhang, Yongshun Zhang, Xingcheng Li, Hanjin Pan. Ground Clutter Characteristics of Airborne Bistatic Radar[J]. Modern Defence Technology, 2010, 6（38）, 132-138.

[3] Hu C，Long T，Zeng T. Statistic characteristic analysis of forward scattering surface clutter in bistatic radar[J]. Science China-Information Sciences, 2010, 53(12): 2675-2686.

DOI: 10.1007/s11432-010-4119-1

[4] Hu Cheng, Long Teng, Zeng Tao, er al. Science China-Information Sciences, 2010, 53(11): 2310-2322.

[5] Chen C Y and Vaidyanathan P P. A subspace method for MIMO radar space-time adaptive processing[C]. IEEE International Conference on Acoustics, Speech, and Signal Processing, Honolulu, Hawaii, April 15-20, 2007, (2): 925-92A.

DOI: 10.1109/icassp.2007.366388

[6] Xichuan Zhang, Yongshun Zhang, Yongliang Wang, Pengfei Zhao. Journal of Air Force Engineering University(Natural Science Edition), 2010, 11(5): 35-38.

[7] Tao Yan, Wenchong Xie, Yongliang Wang. Model and Clutter Characteristics Analysis for Airborne MIMO Radar[J]. Radar Science and Technology, 2010, 8(4): 289-295.

DOI: 10.1109/icindma.2010.5538232

[8] Wenlin Hu, Yongliang Wang, Shouyong Wang. Performance of Ordered Statistic CFAR Detector Under Log-normal Distributed Clutter[j]. Journal of Electronics&Information Technology, 2007, 35(3): 517-520.

[9] Wenlin Hu, Yongliang Wang, Shouyong Wang Wenchong Xie. Systems Engineering and Electronics, 2007, 29(6): 883-886.

[10] Pengfei Du. A study on constant false alarm rate detection of airborne early-warning radar[D]. Changsha: National University of Defence Technology, 2003, 12.

[11] Ali Karimian, Caglar Yardim. Multiple grazing angle sea clutter modeling. IEEE. Transactions on antennas and propagation, Vol. 60, No. 9, 2012: 4408-4417.

DOI: 10.1109/tap.2012.2207033