Network and sensor management for multiple sensor emitter location system

In order for estimating the location of a passive emitter, signal data must be collected at a multitude of sensors and the sensors must cooperate to achieve the task. Our goal is to achieve network-wide optimization over a large number of simultaneously deployed sensors to enable more efficient and effective cooperation within the network of sensors.;This dissertation covers the following aspects: (i) The emitter location estimation accuracy is related with many items, giving an overall review of how the measurements quality (such as the accuracies of TDOA and FDOA) and sensors' navigation data (such as position and velocity) will affect the estimation errors, and developing the relationship among those aspects; (ii) Since the accuracy of parameter estimation is related with the signal model, exploiting the importance of deciding the signal model used in location estimation problem and giving out the results of different models; (iii) To save the system energy and reduce computation latency, developing various methods to select and pair a subset of sensors to satisfy the system requirements; (iv) Based on the relationship between estimation accuracy and sensors' navigation data, discussing the probability of computing the next optimal state; (v) Since sensors' navigation data along with uncertainty, exploiting the sensors' navigation data errors effects on least square estimation and giving solution to mitigate these errors. The results of this dissertation will provide a systematic means for addressing network management and sensor management issues across the spectrum of sensor network.