盲分离与ASLC抗干扰性能对比分析
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摘要
针对盲分离和自适应旁瓣相消器(ASLC)两种抗干扰技术在实际中如何选择应用的问题,对盲分离和ASLC的抗干扰性能进行了对比分析。在对盲分离和ASLC抗干扰原理及信号处理技术研究的基础上,在多种场景及不同信噪比情况下对两种技术的抗干扰性能进行了仿真对比分析。通过分析,给出了不同干扰情况下抗干扰方法的选择依据,即ASLC对于旁瓣干扰抑制更加有效,而主瓣干扰抑制方面盲分离技术更有优势。
With the aim to solve the problem on how to choose jamming suppression method between the blind source separation(BSS) and the adaptive sidelobe canceller(ASLC), the jamming suppression performance of BSS and ASLC are comparatively analyzed. Based on the study on the principles and signal processing methods of BSS and ASLC, the jamming suppression performance of BSS and ASLC under different jamming and signal-to-noise-ratio conditions are investigated by simulation. Through analysis, the theoretical basis for the choice of jamming suppression method under different scenarios is presented, i.e., the ASLC is more effective in suppressing sidelobe jamming, while the BSS technique performs better on mainlobe jamming suppression.
With the aim to solve the problem on how to choose jamming suppression method between the blind source separation(BSS) and the adaptive sidelobe canceller(ASLC), the jamming suppression performance of BSS and ASLC are comparatively analyzed. Based on the study on the principles and signal processing methods of BSS and ASLC, the jamming suppression performance of BSS and ASLC under different jamming and signal-to-noise-ratio conditions are investigated by simulation. Through analysis, the theoretical basis for the choice of jamming suppression method under different scenarios is presented, i.e., the ASLC is more effective in suppressing sidelobe jamming, while the BSS technique performs better on mainlobe jamming suppression.
引文
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[7] LUO S, XIONG Y, CHENG H, et al. An algorithm of radar deception jamming suppression based on blind signal separation[C]// 2011 International Conference on Computational Problem-solving (ICCP). Chengdu: IEEE Press, 2011: 167-170.
[2] 张贤达, 保铮. 盲信号分离[J]. 电子学报, 2001 , 29(12): 1766-1771. ZHANG Xianda, BAO Zheng. Blind source separation[J]. Acta Electronica Sinica, 2001, 29(12): 1766-1771.
[3] CHOI S, CICHOCKI A, PARK H M, et al. Blind source separation and independent component analysis: a review[J]. Neural Information Processing, 2005, 6(1): 1-57.
[4] MURATA N,IKEDA S,ZIEHE A.An approach to blind source separation based on temporal structure of speech signals[J]. Neurocomputing,2001,41(1): 1-24.
[5] HUANG G, YANG L. A radar anti-jamming technology based on blind source separation[C]// 2004 7th International Conference on Signal Processing. Beijing: IEEE Press, 2004: 2021-2024.
[6] 王建明, 伍光新, 周伟光. 盲源分离在雷达抗主瓣干扰中的应用研究[J]. 现代雷达, 2010, 32(10): 46-49. WANG Jianming, WU Guangxin, ZHOU Weiguang. A study on radar mainlobe jamming suppression based on blind source separation algorithm[J]. Modern Radar, 2010, 32(10): 46-49.
[7] LUO S, XIONG Y, CHENG H, et al. An algorithm of radar deception jamming suppression based on blind signal separation[C]// 2011 International Conference on Computational Problem-solving (ICCP). Chengdu: IEEE Press, 2011: 167-170.