Digital Signal Processing for Localization of Signal Sources

在雷达、声纳、地震学、射电天文学、移动的通信、生物医学工程等研究领域中，叠加信号数目的检测和信号源定位或波达方向（DOA）确定是最基本和最重要的问题。我们已经开发了新的高效算法，1.在接收信号的环境变化的情况下，所接收的信号不能被处理为静止的。只有少量的样本可以用于从接收信号中提取信息。我们提出了一种新的准则来检测信号的数量，使用非常小的样本数。2.相干信号接收在多径环境中产生的信号质量的恶化。3.研究了相干信号的DOA估计算法。4.针对鲑鱼洄游机理的研究，开发了鲑鱼自动追逐系统。多路径环境恶化定位鲑鱼的性能。我们正在尝试将我们开发的技术应用于自动追逐鲑鱼的系统。

The detection of the number of superimposed signals and signal source localization or direction-of-arrival (DOA) finding are the most basic and important issues in the research fields of radar, sonar, seismology, radio astronomy, mobile communications, biomedical engineering, and so on. In this research, we have developed novel efficient algorithms with super-resolution or high accuracy for the problems of the detection and the DOA estimation in the noisy environment.1.In the case that the environment of receiving signals varies, the received signal could not be dealt with as stationary. Only small number of samples can be used to extract information from the received signals. We have developed the novel criterion to detect the number of signals using a very small number of samples.2.Coherent signals received in the multi-path environment yield the deterioration of the quality of signals. We have developed the efficient algorithm for detecting the number of coherent signals.3.Also we have developed the efficient algorithm for DOA finding of coherent signals.4.For the research of the mechanism of salmon' s migration, we are developing a system which chases a salmon automatically. The multi-path environment deteriorates the performance of localizing the salmon. We are trying to apply our developed techniques to the system automatically chasing a salmon.