为了从非高斯噪声中有效增强水下目标辐射噪声中的线谱特征，提出了基于四阶累积量变步长极性迭代的自适应谱线增强器( FOCVSSBALE)，并与基于短时自相关的自适应谱线增强器（STABALE）串联，构造了一个新串联式自适应谱线增强器。该增强器对水下目标辐射噪声的线谱特征分量有二次增强作用，对环境噪声有二次抑制效果，对时变信号有良好的跟踪能力，而且计算量小。用水下某目标辐射线谱的实测数据，对该增强器的性能进行了仿真研究。理论分析和仿真结果表明，该增强器与单个的STABALE或FOCVSSBALE相比，能更有效提高信噪比、增强线谱特征。
Abstract
For greatly improving the ability of the sonar detection system to detect the underwater moving target(UMT), FOCVSSBALE (fourth order cumulation variable step-size sign iteration based adaptive line enhancer) was proposed. A novel tandem-type adaptive line enhancer ( NTTALE), whose first level filter is the FOCVSSBALE whereas whose second level filter is a short-term autocor?relation based adaptive line enhancer (STABALE), has been developed. The proposed NTTALE has the ability to nandle undersea ambient noise twice, to enhance the UMT radiated line spectrum feature twice, and to track well time-varying signals. Theoretical analysis and simulation tests with the UMT- radiated data show that the NTTALE has tne excellent performances in suppressing non-Gaussian noise, enhancing line spectrum signals, and tracking time-varying signals compared with the single
STABALE or FOCVSSBALE.
关键词
信息处理技术 /
短时自相关 /
自适应谱线增强器 /
非高斯噪声 /
峰度信噪比
{{custom_keyword}} /
Key words
information processing /
short-term autocorrelation /
adaptive line enhancer (ALE) /
non- Lraussian noise /
kurtosis signal-to-noise ratio
{{custom_keyword}} /
基金
国家自然科学基金资助项目(60372086)；安徽省教育厅自然科学基金资助项目(2005KJ008ZD)；安徽省自然科学基金资助项
目(050420304)
{{custom_fund}}
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] 吴国清.舰船噪声识别（I)——总体框架、线谱分析和特征提 取[J].声学学报，1998,23(5)： 394-400.
WU U-UO-qing. Ship radiated-noise recogition ( I ) the overall
framework, analysis and extraction of iine-spectrum [ J ]. Acta Acoustica, 1998,23(5):394-341. (in Chinese)
[2] 王彦，马章勇，黄建人.一种采用两个相干累加器提高自适应 谱线增强器性能的方法[J].声学技术，2003，22(1)： 8-10. WANG Yan, MA Zhang-yong，HUAN Jiang-ren. A method of improving performance of adaptive line enhancement using two coherent accumulator[J]. Technical Acoustics, 2003，22(1) ： 8 - 10. (in Chinese)
[3] GUO Ye-cai, ZHAO Jun-wei, CHEN Hua-wei. A novel algo?rithm of underwater moving-target dynamic line enhancement[J]. Applied Acoustics, 2003，64(12)： 1159 — 1169.
[4] 周越，杨杰.水声信号的非高斯特性分析与检测方法的研究 [J].信号处理，2001,17(5): 406-411.
ZHOU Yue, YANG Jie. A method of non-Gaussian analysis and detection of underwater acoustic signal [ J ]. signal Processing, 2001，17(5) :406-411. (in Chinese)
[5] Nasir Ahmed，S Vijayendra. An algorithm for line enhancement [J]. Proceedings of IEEE, 1982, 70(12)： 1459-1460.
[6] 郭业才.基于高阶统计量的水下目标动态线谱增强算法研究 [D].西北エ业大学，2003.
GuO Ye-cai. Research of higher order statistics based underwater moving target dynamic spectrum feature enhancement [ D ]. Xi an： Northwestern Poiytechnical University, 2003. (in Chinese)
[7] Abouhiasr T, Zerguine A. Variable weight mixed-norm LMS- LMF adaptive algorithm[c] . Proceedings of Thirty lhird Annu?al, Asilomar Conference on signals, Systems and Computers, Pa?cific Garove, California, 1999： 791 — 794.
[8] Yin G, Krishnamurthy V. Averaging blind sign algorithms for adaptive multiuser detection [C]. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2001，5(4) ： 2301 -2304.
[9] 郭业才，赵俊渭，陈华伟.基于ニ级自适应波波的水下目标动 态谱线增强算法研究[J].声学学报，29(1) :68-74.
GUO Ye-cai, ZHAO Jun-wei, CHEN Hua-wei. Algorithm for two cascades adaptive filtering based on underwater taerget dy?namic line enhancer[ J]. Acta Acoustica, 2004, 29 ( I) : 68 — 74. (in Chinese)
{{custom_fnGroup.title_cn}}
脚注
{{custom_fn.content}}
