Performance Analysis of Underwater Modified Space-Time Adaptive Detection
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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。
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关键词:
- 声呐信号处理 /
- 空时自适应检测(STAD) /
- 修正 /
- 失配
Abstract: 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.-
Key words:
- sonar signal processing /
- space-time adaptive detection(STAD) /
- modification /
- mismatch
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