This paper considers recursive tracking of one mobile emitter using a sequence of time
difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurement pairs …

In this article, we consider different types of wireless networks that benefit from and, in
certain cases, require self-organization. Taking mobile ad hoc, wireless sensor, wireless …

A transform coding data compression method is developed for the case of making estimates
from data collected using two sensors. We focus on the transfer of data from one sensor to …

Because a primary task of multi-sensor systems is to make estimates based on the data
collected and shared throughout the sensor system, it is important to design data …

Pulse deblurring is a key technology for passive localization of reconnaissance signals, and
the performance of pulse deblurring directly affects the accuracy of Time Difference of Arrival …

Sensor networks and other multi-sensor systems collect data upon which estimations are
based. How a particular sensor's data is to be used within the sensor system depends on the …

Sensor networks typically perform multiple inference tasks and compression is often used to
aid in the sharing of data. Compression degrades the inference accuracy and should be …

This paper presents a study on electromagnetic emitter localization using time difference of
arrival (TDOA) and frequency-difference-of-arrival (FDOA) measurements acquired by …

In order for wireless sensor networks to exploit signal, signal data must be collected at a
multitude of sensors and must be shared among the sensors. The vast sharing of signals …

Data compression ideas can be extended to assess the data quality across multiple sensors
to manage the network of sensors to optimize the location accuracy subject to …