Semidefinite relaxation for source localization with quantized ToA measurements and transmission uncertainty in sensor networks

Y Yan, G Yang, H Wang, X Shen - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Accurate location information is critical for many engineering applications (eg, radar, sonar,
autonomous robots, intelligent transportation systems). In traditional source localization …

On the semidefinite programming algorithm for energy-based acoustic source localization in sensor networks

Y Yan, X Shen, F Hua, X Zhong - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
The received energy has been becoming an efficient and attractive measure for acoustic
source localization due to its cost saving in both energy and computation capability. We …

[PDF][PDF] Multi-task Joint Sparse Representation Classification Based on Fisher Discrimination Dictionary Learning.

R Wang, M Shen, Y Li, S Gomes - Computers, Materials & …, 2018 - cdn.techscience.cn
Recently, sparse representation classification (SRC) and fisher discrimination dictionary
learning (FDDL) methods have emerged as important methods for vehicle classification. In …

非理想水声信道下微弱信号分布式量化检测.

毛琳琳, 鄢社锋 - Journal of Signal Processing, 2023 - search.ebscohost.com
分布式水声无线探测网是实现远程水下目标探测的有效途径, 而其中的首要任务是进行水下分布
式检测. 针对水声传输传播时延大, 可用带宽窄, 无法实现水声阵列采集原始数据实时传输的限制 …

Efficient convex optimization for energy-based acoustic sensor self-localization and source localization in sensor networks

Y Yan, H Wang, X Shen, B Leng, S Li - Sensors, 2018 - mdpi.com
The energy reading has been an efficient and attractive measure for collaborative acoustic
source localization in practical application due to its cost saving in both energy and …