根据目标信号与背景噪声的特点，结合机器自动提取BTR弱目标轨迹时的需求，本文设计了一种自适应门限背景均衡算法。相比于现有方法，该算法有两点改进：1）根据目标信号与背景噪声幅度比值，自适应生成滤波阈值，不需要人工设置与调试；2）根据目标信号与背景噪声在BTR中的显示特点，自动识别噪声并进行抑制，提高了弱目标与噪声的区分度。实测信号处理结果证明，本文算法能够在保护弱目标轨迹的情况下较干净地滤除背景噪声。
According to characteristic of target signals and ambient noise, combining with the requirement when extracting weak target track in bearing-time recording automatically, this paper designs an adaptive threshold background normalization algorithm. Comparing to existing methods, this algorithm has two improvements:According to the specific value between target signal amplitude and ambient noise amplitude, creating the filtering threshold automatically. According to characteristic of target signals and ambient noise in the line array sonar bearing-time recording, recognizing and suppressing the noise automatically, increasing the partition degree between weak signals and noise. In general, this algorithm reduces the difficulty of extracting weak target track automatically.
2019,41(6): 133-137 收稿日期：2019-03-26
DOI：10.3404/j.issn.1672-7649.2019.06.028
分类号：TN911.7
作者简介：邱家兴(1987-),男,助理研究员,研究方向为水声信号处理和目标识别
参考文献：
[1] 李启虎, 杜鹏, 秦英达, 等. 数字式声呐多波束显示系统方位历程显示技术研究[J]. 应用声学, 1994:1-6
[2] 陈敬军, 陆佶人. 被动声呐线谱检测技术综述[J]. 声学技术, 2004, 23(1):57-60
[3] 芦俊, 张颜岭, 张凤园. 一种被动声呐线谱背景均衡算法[J]. 声学与电子工程, 2016(3):20-22
[4] 袁延艺, 蒋小勇, 杜选民. 多级背景均衡在多波束LOFAR处理中的应用[J]. 声学技术, 2016, 31(03)
[5] STRUZINSKI W A, LOWE E D. A performance comparison of four noise background normalization schemes proposed for signal detection systems[J]. Journal Acoustical Society of America, 1984, 76(6):1738-1742
[6] JOO J H, JUM B D. The performance test of the background noise normalization in the narrow band detection[C]//UDT Europe, 2006.
[7] KUHN J P, HEATH T S. Apparatus for and method of adaptively processing sonar data[P]. USA:US005481503A, 1996.
[8] STERGIOPOULOS S. Noise normalization technique for beamformed towed array data[J]. Journal Acoustical Society of America, 1995, 97(4):2334-2345
[9] RICHARD O, NIELSON. Sonar Signal Processing[M]. Boston:Artech House, 1991.
[10] 李启虎, 潘学宝, 尹力. 数字式声呐中一种新的背景均衡算法[J]. 声学学报, 2000, 25(1):5-9
[11] 权恒恒, 徐晓男, 杜栓平. 一种新的波束域背景均衡算法[C]//2016年中国西部声学学术交流会.
[12] STRUZINSKI W A, LOWE E D. The effect of improper normalization on the performance of an automated energy detector[J]. Journal Acoustical Society of America, 1985, 78(3):936-941
[13] 王晓宇. 被动声呐宽带显示方法与测向技术研究[D]. 西安:西北工业大学, 2009.
[14] LINDLEY C A. Practical image processing in C[J]. John Wiley & Sons, 1991
