水下修正空时自适应检测的性能分析  被引量:4

Performance Analysis of Underwater Modified Space-Time Adaptive Detection

在线阅读下载全文

作  者:李娜[1,2] 郝程鹏 施博[1] 陈栋[1] LI Na;HAO Cheng-peng;SHI Bo;CHEN Dong(The Institute of Acoustics of the Chinese Academy of Sciences, Beijing 100190, China;School of Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China)

机构地区:[1]中国科学院声学研究所,北京100190 [2]中国科学院大学电子电气与通信工程学院,北京100049

出  处:《水下无人系统学报》2018年第2期133-139,共7页Journal of Unmanned Undersea Systems

基  金:国家自然基金项目(61571434);中科院声学所青年英才计划(QNYC201623)

摘  要:修正空时自适应检测(STAD)是以空时联合处理为框架、以水下目标检测为目的的声呐信号处理方法,能有效解决混响背景下的目标检测问题。为了明确修正STAD的适用条件,首先从点目标回波入手,阐明其空时导向矢量中空时交叉项不可忽略的原因,进一步推导出空域导向矢量失配程度与阵元数目和目标方位角的数学关系式,为定量分析修正STAD性能提供数学依据。最后采用蒙特卡洛仿真方法对修正STAD的检测性能进行了分析。研究结果表明,修正STAD适用于阵元数目足够多(超过32个阵元)、阵列法向未对准目标的情况,此时相对于传统STAD,修正STAD可以表现出更好的检测性能和更优的稳健性。The modified space-time adaptive detection(STAD) is an adaptive processing method based on space-time joint processing. It is a sonar signal processing method for underwater target detection, and it can effectively solve the target detection problem in the background of reverberation. In this paper, to clarify the applicable conditions of the modified STAD, the reason why the cross term in the space-time steering vector of point target echo is not negligible is explained, then the mathematical relationship of the mismatch degree of space-domain steering vector with the number of elements and the azimuth of target is derived to provide the mathematical basis for quantitative analysis of the performance of the modified STAD. Further, the detection performance of the modified STAD is analyzed with Monte Carlo simulation method. The results show that the modified STAD is suitable for the case where the array elements are enough(more than 32)and the array normal is not aligned with the target, in this case the modified STAD can show better detection performance and robustness than traditional STAD.

关 键 词:声呐信号处理 空时自适应检测(STAD) 修正 失配 

分 类 号:TJ630[兵器科学与技术—武器系统与运用工程] TN911.7[电子电信—通信与信息系统]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象