This paper describes a novel knowledge discovery and data mining framework dealing with nonlinear interactions among domain attributes. Our network-based model provides an effective and efficient reasoning procedure to perform prediction and decision making. Unlike many existing paradigms based on linear models, the attribute relationship in our framework is represented by nonlinear nonnegative...

We create a measurement technique and easy to interpret metrics to be used in development of new oscillators specifically for applications in which the oscillator’s power is turned on and off. This is useful in predicting the performance in, for example, the frequency-difference-ofarrival (FDOA) geolocation technique, which is used to monitor and track an emitter’s location by observing its Dop...

Abstract By utilizing the time difference of arrival (TDOA), frequency (FDOA), and differential Doppler rate (DDR) measurements from sensors, this paper proposes an effective moving source localization algorithm with closed solutions. Instead employing traditional two-step weighted least squares (WLS) process, Lagrange multiplier technique is employed in first step to obtain initial solution. T...

This paper investigates passive emitter tracking using a combination of Time Difference of Arrival (TDOA) measurements with further different types of measurements. The measurements are gained by exploiting the signal impinging from an unknown moving emitter. First, a combined set of TDOA and Angle of Arrival (AOA) measurements is processed using the Maximum Likelihood Estimator (MLE). Then, a ...