Expectation–maximisation based distributed estimation in sensor networks

2019 ◽  
pp. 201-230
Keyword(s):  
Sensor Networks ◽  
Distributed Estimation ◽  
Expectation Maximisation

Robust Decentralized and Distributed Estimation of a Correlated Parameter Vector in MIMO-OFDM Wireless Sensor Networks

2021 ◽  
pp. 1-1
Author(s):  
Kunwar Pritiraj Rajput ◽  
Mohammad Faisal Ahmed ◽  
Naveen K. D. Venkategowda ◽  
Aditya K. Jagannatham ◽  
Govind Sharma ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Distributed Estimation ◽  
Wireless Sensor ◽  
Parameter Vector ◽  
Mimo Ofdm

scholarly journals A Robust Diffusion Minimum Kernel Risk-Sensitive Loss Algorithm over Multitask Sensor Networks

Sensors ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 2339 ◽  
Author(s):  
Xinyu Li ◽  
Qing Shi ◽  
Shuangyi Xiao ◽  
Shukai Duan ◽  
Feng Chen
Keyword(s):  
Sensor Networks ◽  
Gaussian Noise ◽  
Impulsive Noise ◽  
Estimation Algorithm ◽  
Distributed Estimation ◽  
Superior Performance ◽  
Mean Square ◽  
Unknown Parameters ◽  
Risk Sensitive ◽  
The Impact

Distributed estimation over sensor networks has attracted much attention due to its various applications. The mean-square error (MSE) criterion is one of the most popular cost functions used in distributed estimation, which achieves its optimality only under Gaussian noise. However, impulsive noise also widely exists in real-world sensor networks. Thus, the distributed estimation algorithm based on the minimum kernel risk-sensitive loss (MKRSL) criterion is proposed in this paper to deal with non-Gaussian noise, particularly for impulsive noise. Furthermore, multiple tasks estimation problems in sensor networks are considered. Differing from a conventional single-task, the unknown parameters (tasks) can be different for different nodes in the multitask problem. Another important issue we focus on is the impact of the task similarity among nodes on multitask estimation performance. Besides, the performance of mean and mean square are analyzed theoretically. Simulation results verify a superior performance of the proposed algorithm compared with other related algorithms.

Distributed Estimation on Sensor Networks

2017 ◽  
pp. 185-195
Author(s):  
Charles K. Chui ◽  
Guanrong Chen
Keyword(s):  
Sensor Networks ◽  
Distributed Estimation
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