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Study on Clutter Model and Characteristics of Airborne Radar with Parabolic Conformal Phased Array 被引量:2
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作者 Hao Jiang Nini Rao +4 位作者 Xingbo Chen Jiabin Zhou Chaoyang Qiu Wen Zhai Zhimei Hao 《Journal of Electronic Science and Technology》 CAS CSCD 2016年第1期49-53,共5页
The studies on clutter modeling and suppression of airborne radar with a parabolic conformal array are uncommon due to the complexity of this type of antenna array configuration.The correct understanding of clutter ch... The studies on clutter modeling and suppression of airborne radar with a parabolic conformal array are uncommon due to the complexity of this type of antenna array configuration.The correct understanding of clutter characteristics for airborne radar with a parabolic conformal antenna array is the prerequisite and foundation of optimal suppression of this type of clutter.This paper establishes the model of clutter echo of airborne parabolic conformal phased array radar and analyzes the structure characteristics and the distribution features of this type of clutter.The simulation results show that this type of clutter has the following characteristics:1) The main lobe on the azimuth is seriously broadened,2) the power spectrum presents strong heterogeneity,and 3) the freedom degrees are high.Based on the existing related clutter suppression methods,we verified the correctness of the constructed clutter model.This work has an important guidance to further study on clutter suppression methods in airborne parabolic conformal array radar. 展开更多
关键词 airborne radar characteristics clutter parabolic conformal array antenna
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Improved Multistage Wiener Filters in Nonhomogeneous Clutter Environments 被引量:2
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作者 Bin Tang Xue-Gang Wang Ke-Song Chen 《Journal of Electronic Science and Technology of China》 2008年第1期75-78,共4页
A new method combining space-time preprocessing with multistage Wiener filters(STPMWF)is proposed to improve the performance of space-time adaptive processing(STAP)in nonhomogeneous clutter scenario.The new scheme... A new method combining space-time preprocessing with multistage Wiener filters(STPMWF)is proposed to improve the performance of space-time adaptive processing(STAP)in nonhomogeneous clutter scenario.The new scheme only requires the data from the primary range bin,thus it can suppress discrete interferers efficiently,without calculating the inverse of covariance matrix.Comparing to the original MWF approach,the proposed scheme can be regarded as practical solutions for robust and effective STAP of nonhomogeneous radar data.The theoretical analysis shows that our STPMWF is simple in implementation and fast in convergence.The numeric results by using simulated data exhibit a good agreement with the proposed theory. 展开更多
关键词 airborne early warning (AEW) radar clutter suppress multistage Wiener filters (MWF) nonhomogeneous clutter space-time adaptive processing(STAP).
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