自适应信号分解方法在主动声呐信号处理中的应用研究

Study on the Application of Adaptive Signal Decomposition to Active Sonar Signal Processing

利用基于“MatchingPursuit”算法的自适应信号分解方法,探讨了主动声呐信号处理中多目标回波的检测及参数估计问题。该方法既能实现多目标分辨,又能提取出更多的目标特征信息,所以能够充分发挥宽带信号的优势。再者,不仅对更广泛类型的发射信号具有普适性,而且分解结果能为下一段接收数据的选取提供参考信息。因而,同已有的信号处理方法相比,该方法具有明显的优越性,是一种比较好的信号分析方法。仿真实验证明了该方法的有效性。

This paper explores the application of Adaptive Signal Decomposition based on Matching Pursuits algorithm to multiple targets detection and parameter estimation in active sonar signal processing. The method not only can resolve multiple targets, but also can extract more acoustic features of the target. So it brings the advantages of wideband signal into full play. Furthermore, not only it is suitable for many kinds of transmitting signals, but also the results produced by Adaptive Signal Decomposition can provide necessary information about how to select the next data blocks under analysis. So compared with the existing methods, this method has significant superiority. Simulation results proved its efficiency.