Adaptive Beamforming For Jamming Suppression In The Whole Range Domain

For the traditional early warning radar, only one weight vector is calculated in engineering application for adaptive spatial filtering in a pulse reputation interval (PRI). Therefore, if the training data do not contain the jamming, then the adaptive spatial filtering calculated cannot suppress the jamming. If the adaptive weights update in the whole range domain, the target signal may be contained in the training data, resulting in signal self-cancelling effect. In this paper, we propose a non-homogeneous detector (NHD) based method for updating the adaptive weights in the whole range domain when the training data is contaminated by target signal. The principle is given, and the effectiveness is verified by simulations.

[1]  William L. Melvin,et al.  Adaptive detection in dense target environments , 2001, Proceedings of the 2001 IEEE Radar Conference (Cat. No.01CH37200).

[2]  L. Mili,et al.  Improved detection of strong nonhomogeneities for STAP via projection statistics , 2005, IEEE International Radar Conference, 2005..

[3]  Harry L. Van Trees,et al.  Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory , 2002 .

[4]  Wei Zhang,et al.  Robust Capon beamforming against large DOA mismatch , 2013, Signal Process..

[5]  Yuri I. Abramovich,et al.  Diagonally Loaded Normalised Sample Matrix Inversion (LNSMI) for Outlier-Resistant Adaptive Filtering , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[7]  Jian Li,et al.  On robust Capon beamforming and diagonal loading , 2003, IEEE Trans. Signal Process..

[8]  Jianxin Wu,et al.  Training Sample Selection for Space-Time Adaptive Processing in Heterogeneous Environments , 2015, IEEE Geoscience and Remote Sensing Letters.

[9]  Harry L. Van Trees,et al.  Optimum Array Processing , 2002 .

[10]  Yingning Peng,et al.  Detection of heterogeneous samples based on loaded generalized inner product method , 2012, Digit. Signal Process..

[11]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[12]  Wei Zhang,et al.  Robust minimum variance multiple-input multiple-output radar beamformer , 2013, IET Signal Process..

[13]  Alexander M. Haimovich,et al.  Signal cancellation effects in adaptive radar Mountaintop data-set , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[14]  Teng Long,et al.  Robust non-homogeneity detection algorithm based on prolate spheroidal wave functions for space-time adaptive processing , 2013 .

[15]  M. O. Berin,et al.  Training and signal cancellation in adaptive radar , 1996, Proceedings of the 1996 IEEE National Radar Conference.

[16]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.