非圆特征恢复特征空间投影鲁棒波束形成
收稿日期: 2015-10-12
修回日期: 2015-11-19
网络出版日期: 2016-01-06
基金资助
国家自然科学基金（61331019，61490691）
Noncircularity restoral eigenspace projection robust beamforming
Received date: 2015-10-12
Revised date: 2015-11-19
Online published: 2016-01-06
Supported by
National Natural Science Foundation of China (61331019, 61490691)
郭婷婷 , 徐友根 . 非圆特征恢复特征空间投影鲁棒波束形成[J]. 航空学报, 2016 , 37(9) : 2833 -2838 . DOI: 10.7527/S1000-6893.2015.0366
A new robust beamformer exploiting noncircularity restoral of desired signal is proposed. The new approach is based on the eigenspace projection, further uses the noncircularity coefficient of the beamformer output to construct the cost function and modifies the pointing direction of the main beam via azimuth searching to maximize the noncircularity coefficient of the beamformer output, so that it could improve the output performance of beamformer while the robustness is guaranteed.The new method doesn't need to set user parameters,and it is applicable for the Qth (Q≥2) order noncircular modulated signal. At the same time, the new method is not sensitive to the noncircularity of the sidelobe interference signal, which is widely used in practice. At the end of this paper, the simulations for the case of second order noncircular signal and the case of high order noncircular signal were carried out, and the results verify the validity and superiority of the proposed approach.
[1] GERSHMAN A B. Robust adaptive beamforming in sensor arrays [J]. International Journal of Electronics and Communications, 1999, 53(6): 305-314.
[2] GERSHMAN A B. Robust adaptive beamforming: An overview of recent trends and advances in the field [C]//Proceedings of International Conference on Antenna Theory and Techniques, 2003: 30-35.
[3] VOROBYOV S A, GERSHMAN A B, LUO Z Q. Robust adaptive beamforming using worst-case performance optimization: A solution to the signal mismatch problem [J]. IEEE Transactions on Signal Processing, 2003, 51(2): 313-324.
[4] LI J, STOICA P, WANG Z S. On robust Capon beamforming and diagonal loading [J]. IEEE Transactions on Signal Processing, 2003, 51(7): 1702-1715.
[5] LORENZ R G, BOYD S P. Robust beamforming in GPS arrays [C]//Proceedings of the Institute of Navigation, 2001: 409-427.
[6] LORENZ R G, BOYD S P. Robust minimum variance beamforming [C]//37th Asilomar Conference on Signals, Systems, and Computers, 2003: 1345-1352.
[7] LORENZ R G, BOYD S P. Robust minimum variance beamforming [J]. IEEE Transactions on Signal Processing, 2005, 53(5): 1684-1696.
[8] SENLEN Y, ABRAHAMSSON R, STOICA P. Automatic robust adaptive beamforming via ridge regression [J]. Signal Processing, 2007, 2(1): 33-49.
[9] DU L, STOICA P. Fully automatic computation of diagonal loading levels for robust adaptive beamforming [J]. IEEE Transactions on Aerospace and Electronic Systems, 2010, 46(1): 449-458.
[10] STOICA P, LI J, TAN X. On spatial power spectrum and signal estimation using the Pisarenko framework [J]. IEEE Transactions on Signal Processing, 2008, 56(10): 5109-5119.
[11] ARASH K, VOROBYOV S A, HASSANIEN A. Robust adaptive beamforming based on steering vector estimation with as little as possible prior information [J]. IEEE Transactions on Signal Processing, 2012, 60(6): 2974-2987.
[12] GU Y, LESHEM A. Robust adaptive beamforming based on interference covariance matrix reconstruction and steering vector estimation [J]. IEEE Transactions on Signal Processing, 2012, 60(7): 3881-3885.
[13] JIA W M, JIN W, ZHOU S H, et al. Robust adaptive beamforming based on a new steering vector estimation algorithm [J]. Signal Processing, 2013, 93(9): 2539-2542.
[14] GU Y J, GOODMAN N A, HONG S H, et al. Robust adaptive beamforming based on interference covariance matrix sparse resconstruction [J]. Signal Processing, 2014, 96(5): 375-381.
[15] GALY J, ADNET C. Blind separation of non-circular sources [C]//Proceedings of 10th IEEE Workshop on Statistical Signal and Array Processing. Piscataway,NJ: IEEE Press, 2000: 315-318.
[16] XU Y G, LIU Z W. Noncircularity restoral for multi-antenna adaptive blind beamforming [J]. Multidimensional Systems and Signal Processing, 2010, 21(2): 133-160.
[17] CHEVALIER P, BLIN A. Widely linear MVDR beamformers for the reception of an unknown signal corrupted by noncircular interferences [J]. IEEE Transactions on Signal Processing, 2007, 55(11): 5323-5336.
[18] WANG G H, LIE J P, SEE C-M S. A robust approach to optimum widely linear MVDR beamformer [C]//Proceedings of IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP). Piscataway,NJ: IEEE Press,2012: 2593-2596.
[19] STEINWANDT J, HAARDT M. Optimal widely-linear distributed beamforming for relay networks [C]//Proceedings of IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP). Piscataway,NJ: IEEE Press,2013: 4215-4241.
[20] XU D Y, HUANG L, XU X, et al. Widely linear MVDR beamformers for noncircular signals based on time-averaged second-order noncircularity coefficient estimation [J]. IEEE Transactions on Vehicular Technology, 2013, 62(7): 3219-3227.
[21] XU Y G, MA J Y, LIU Z W, et al. A class of diagonally loaded robust capon beamformers for noncircular signals of interest [J]. Signal Processing, 2014, 94(1): 670-680.
[22] ERIKSSON J, OLLILA E, KOIVUNEN V. Essential statistics and tools for complex random variables [J]. IEEE Transactions on Signal Processing, 2010, 58(10): 5400-5408.
[23] OLLILA E, ERIKSSON J, KOIVUNEN V. Complex elliptically symmetric random variables—generation, characterization, and circularity test [J]. IEEE Transactions on Signal Processing, 2011, 59(1): 58-69.
[24] RYTEL-ANDRIANIK R. On circularity of complex-valued radar signals [C]//Signal Processing Symposium, 2013: 1-6.
[25] 马静艳. 利用信号非圆特征的鲁棒波束形成算法研究[D].北京:北京理工大学, 2014:76-87. MA J Y. Noncircularity exploitation in roubst adaptive beamforming[D]. Beijing: Beijing Institute of Technology, 2014: 76-87 (in Chinese).
/
| 〈 |
|
〉 |
CJA