A novel scheme is proposed for direction finding with uniform rectangular planar array. First, the characteristics of noncircular signals and Euler's formula are exploited to construct a new real-valued rectangular array data. Then, the rotational invariance relations for real-valued signal space are depicted in a new way. Finally the real-valued propagator method is utilized to estimate the pa...

The problem of position estimation in sensor networks using a combination of distance and angle information as well as pure angle information is discussed. For this purpose, a semidefinite programming relaxation based method that has been demonstrated on pure distance information is extended to solve the problem. Practical considerations such as the effect of noise and computational effort are ...

If the direction of arrival (DOA) of a source is perturbed due to some reasons in a statistical way as in the environment of wireless mobile communications, a new model appropriate for such environment should be used instead of the point source model. In this paper, an angle-perturbed source model is proposed and an estimation method based on the eigendecomposition technique is investigated und...

A large-sample decoupled maximum likelihood angle estimator for signals with known waveforms is presented by exploiting the a priori knowledge that the observation noise can be modeled as spatially white. We show that incorporating this knowledge improves signiicantly angle estimation accuracy over existing angle estimators for signals with known waveforms. MUSIC, ESPRIT, and MODE, do not assum...

The primary goal of this paper is to develop an approach to fusion of two streams of data – imaging and kinematic – for optimization of target identification. Specifically, we focus on the fusion of rangeprofile data (obtained from a high range resolution sensor) and kinematic information for observation-to-track assignment and target recognition. A more reliable target identification is possib...