论文部分内容阅读
目标运动分析(TMA)已经是重要文献的主题。然而目前的方法是使用短时间分析估计的数据(方位,多普勒等)。对于远的声源,可以简单地建立由于声源运动引起的声呐阵列处理输出的非平稳性模型。该模型有可能直接考虑时空TMA。然后可以估计新的(时-空)数据。这些估计值相当于一个长时间分析。还要注意:估计新的数据与(传统的)方位无关。在这种一般结构中,声源轨迹概念代替了传统的瞬时方位。从而研究了相应的TMA算法。另外还仔细研究了统计性能。
Target Movement Analysis (TMA) has been the subject of significant literature. However, the current method is to use a short time to analyze the estimated data (azimuth, Doppler, etc.). For far sound sources, the non-stationary model output by sonar array processing due to sound source motion can be easily established. The model may directly consider the spatio-temporal TMA. Then new (time-space) data can be estimated. These estimates are equivalent to a long-term analysis. Also note that it is estimated that the new data is not related to the (traditional) position. In this general structure, the concept of sound source trajectory replaces the traditional instantaneous orientation. In order to study the corresponding TMA algorithm. In addition, we carefully studied the statistical performance.