压缩传感
估计员
计算机科学
最大似然
传感器阵列
算法
无线传感器网络
事先信息
模式识别(心理学)
人工智能
数学
统计
机器学习
计算机网络
作者
Qing Shen,Wei Liu,Li Wang,Yin Liu
标识
DOI:10.1109/icassp.2019.8683867
摘要
The target localization problem for distributed sensor array networks where a sub-array is placed at each receiver is studied, and under the compressive sensing (CS) framework, a group sparsity based two-dimensional localization method is proposed. Instead of fusing the separately estimated angles of arrival (AOAs), it processes the information collected by all the receivers simultaneously to form the final target locations. Simulation results show that the proposed localization method provides a significant performance improvement compared with the commonly used maximum likelihood estimator (MLE).
科研通智能强力驱动
Strongly Powered by AbleSci AI