By exploiting the synergies among available data, information fusion can reduce data traffic, filter noisy measurements, and make predictions and inferences about a monitored entity. Networked Filtering and Fusion in Wireless Sensor Networks introduces the subject of multi-sensor fusion as the method of choice for implementing distributed systems.T

chapter 1|16 pages


chapter 2|40 pages

Wireless Sensor Networks

chapter 3|54 pages

Distributed Sensor Fusion

chapter 4|58 pages

Distributed Kalman Filtering

chapter 5|28 pages

Expectation Maximization

chapter 6|26 pages

Wireless Estimation Methods

chapter 7|32 pages

Multi-Sensor Fault Estimation

chapter 8|26 pages

Multi-Sensor Data Fusion

chapter 9|34 pages

Approximate Distributed Estimation

chapter 10|44 pages

Estimation via Information Matrix

chapter 11|90 pages

Filtering in Sensor Networks