A special case of DOAV estimation in white Gaussian noise

Estimating the location of a point source at the output of an array system can be challenging, especially when one needs to make the tradeoff between accuracy and computational complexity. Using a rectangular array, the most widely studied parameter estimation problem is the azimuth and elevation only case. Even in this two parameter case, it usually requires a two-dimensional search in order to obtain the desired information. The problem formulated in this paper is a four parameter estimation problem of significant importance. To accomplish this, the movement of the point source is modeled in a small window of observation to generate the azimuth, elevation and angular velocities. Often it is easier to develop an algorithm for the Uniformly Distributed Linear Array (ULA) case due to the well-behaved properties of this linear array structure. This paper presents a new search free approach to simultaneously estimate azimuth, elevation angles and respective angular Velocities (DOAV) of moving sources using a rectangular array of antennas.