Target Location and ID From a Passive Multistatic Sensor Network Using Time Differences of Arrival (TDOAs) and the Hough Transform

摘要

Given a passive multistatic sensor network consisting of a set of commercial FM or acoustic transmitters, receivers, and a data processing center with their coordinate locations, scattered radiation responses can be used to identify fixed targets made up of straight lines and circular and elliptical arcs by employing the Hough Transform (HT) and its extensions. The HT is defined and examples of its use are given. In order to apply the HT, a set of input points (x, y) is needed that is generated from transmitter responses, from a target to receivers, using time differences of arrival (TDOAs). Two methods are given to find these coordinates, primarily a straightforward approach dealing directly with the nonlinearity of the problem, and a particular application of Chan's method. Fortran 95 software has been developed to utilize the procedures noted above.