Abstract

The multi-source localization in sensor array networks is a major challenge for radar and sonar. Recent advances in array signal processing techniques and hardware technologies have resulted in a significant increase in the accuracy of angle of arrival or time difference of arrival estimation. So, the angle of arrival or time difference of arrival is widely used as the fundamental features in source localization. In this paper, we address the problem of locating multiple sources based on the angle of arrival and time difference of arrival obtained from small sensor arrays. We propose a new likelihood function for multi-source localization under the assumption that the measurements follow a normal distribution. And we propose a method to simultaneously estimate the source positions using the genetic algorithm. Compared the existing methods, the effectiveness of the proposed method is demonstrated through simulation experiments.

Authors

Un-Il Kim, Hyok Kwak, Chol-Nam Om, Chun-Bom Pak
Kim Il Sung University, Democratic People’s Republic of Korea

Keywords

Multi-Source Localization, Angle of Arrival, Time Difference of Arrival, Sensor Network, Genetic Algorithm