[1]李洪涛,顾陈,朱晓华,等.冲击噪声背景下归一化广义旁瓣相消器[J].南京理工大学学报(自然科学版),2011,(05):677-680.
 LI Hong-tao,GU Chen,ZHU Xiao-hua,et al.Normalized-generalized Sidelobe Canceller in Impulsive Noise[J].Journal of Nanjing University of Science and Technology,2011,(05):677-680.
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冲击噪声背景下归一化广义旁瓣相消器
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2011年05期
页码:
677-680
栏目:
出版日期:
2011-10-31

文章信息/Info

Title:
Normalized-generalized Sidelobe Canceller in Impulsive Noise
作者:
李洪涛1顾陈1朱晓华1胡文2
1. 南京理工大学电子工程与光电技术学院,江苏南京210094; 2. 南京航空航天大学信息科学与技术学院,江苏南京210016
Author(s):
LI Hong-tao1GU Chen1ZHU Xiao-hua1HU Wen2
1. School of Electronic Engineering and Optoelectronic Technology,NUST,Nanjing 210094,China; 2. College of Information Science and Technology,Nanjing University of Aeronautics and Astronautics, Nanjing 210016,China
关键词:
阵列信号处理 广义旁瓣相消器 分数低阶矩 冲击噪声
Keywords:
array signal processing generalized sidelobe cancellers fractional lower order moments impulsive noises
分类号:
TN911. 7
摘要:
针对冲击噪声背景下常规波束形成算法性能下降的问题,该文提出一种归一化广义旁 瓣相消器( N-GSC) 算法,该算法适用于任意未知统计特性的代数拖尾冲击噪声环境。算法通过 对输入信号进行无穷范数归一化,使信号的二阶统计量存在且有界,再进行维纳滤波,提高了波 束形成在冲击噪声背景下的性能。进行了4 种冲击噪声背景下的仿真实验。仿真结果表明,与 传统的GSC 算法和基于分数低阶矩的GSC 算法相比,N-GSC 算法计算简单,无需噪声特征指数 的先验信息或估计,适用于任意分布的冲击噪声环境,具有更强的干扰抑制能力。
Abstract:
To solve the performance degradation of a beamformer in impulsive noises,a new normalized- generalized sidelobe canceller ( N-GSC) algorithm is presented for the heavy-tailed impulsive noises of arbitrary unknown statistics. The second-order statistical entity of input signal is made exist and finite by infinity-norm normalizing the input signal,and the input signal is filtered by wiener filter to improve the performance of the beamformer amid heavy-tailed impulsive noise of unknown statistics. The simulation results of four impulsive noises show that,compared with the GSC and the fractional lower order moments based GSC algorithm, the N-GSC algorithm does not need any prior information and estimation of the impulsive noise characteristic exponents, is easy for calculation and suitable for wider heavy-tailed impulsive noises, and can offer better interference-rejection.

参考文献/References:

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[3] 何劲,刘中. 脉冲噪声环境中稳健的自适应波束形 成算法[J]. 电子学报, 2006, 34( 3) : 464-468.
[4] He J,Liu Z,Wong K T. Linearly constrained minimum- “Geometric Power”adaptive beamforming using logarithmic moments of data containing heavy-tailed noise of unknown statistics[J]. IEEE Antennas and Wireless Propagation Letters, 2007,6 : 600-603.
[5] 何劲,刘中. 冲击噪声环境中最小“几何功率”误差波 束形成算法[J]. 电子学报, 2008, 36( 3) : 510-515.
[6] 顾陈,何劲,朱晓华. 冲击噪声背景下基于最小均方 归一化误差的波束形成算法[J]. 电子学报,2010, 38( 6) : 1430-1433.
[7] He J,Liu Z. Linearly constrained minimum—‘normalised variance’beamforming against heavy-tailed impulsive noise of unknown statistics[J]. IET Radar,Sonar and Navigation, 2008,2 ( 6) : 449-457.
[8] 顾陈,何劲,王克让,等. 任意分布冲击噪声背景下 基于ESPRIT 的DOA 估计方法[J]. 南京理工大学 学报, 2009, 33( 6) : 785-789.
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备注/Memo

备注/Memo:
基金项目: 航空科学基金( 2009ZC52038) ; 南京理工大学自主科研专项计划( 2010ZYTS082) 作者简介: 李洪涛( 1979-) ,男,博士生,主要研究方向: 阵列信号处理、自适应信号处理等,E-mail: floodlee@126. com; 通 讯作者: 朱晓华( 1966-) ,男,教授,博士生导师,主要研究方向: 雷达系统、高速实时数字信号处理等,E-mail: zxh@mail. njust. edu. cn。
更新日期/Last Update: 2012-10-24