| 邵云生.机动小目标的时空联合检测技术[J].声学技术,2015,34(6):497~500 |
| 机动小目标的时空联合检测技术 |
| Research on the algorithm of moving target detection with joint space-time processing |
| 投稿时间：2015-09-30 修订日期：2015-11-22 |
| DOI：10.16300/j.cnki.1000-3630.2015.06.005 |
| 中文关键词: 主动声呐 机动小目标 时空联合检测 混响 |
| 英文关键词: active sonar moving target space-time processing reverberation |
| 基金项目: |
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| 中文摘要: |
| 主动声呐信号处理中一般采用匹配滤波和背景均衡等算法检测回波信号,为提高信号的检测性能,还需利用信号与混响和环境噪声在时间、空间上的统计特征差异。文章在对信号的时、空特征算法进行简单描述的基础上,提出了频率能量统计特征和方位能量统计特征,将两种特征检测器的输出进行融合处理构成时、空联合检测器。仿真和试验数据处理结果证明,此方法可有效提高机动小目标在混响及环境噪声中的检测性能。 |
| 英文摘要: |
| In active sonar signal processing, the matched filtering and background smoothing algorithms are used to detect the echo signals. The time-space statistic difference between the signal and environmental noise should be used in order to improve the detection. This paper proposes the energy statistical characteristics both in frequency and direction based on the description of the characteristic algorithm of signal in space and time, and combines the outputs of the two algorithms to form a space-time joint detector. The simulation and experimental data show that this joint detector can improve the detection performance of remote moving targets in environmental noise background. |
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