SPOC: An Innovative Beamforming Method

摘要

The purpose of a radar or sonar system is to detect targets of interest. Beamforming plays a pivotal role in this task. Spatial Processing: Optimized and Constrained (SPOC) is an innovative front-end beamforming method that operates on array sensor data as an alternative to conventional or adaptive beamforming. It uses a maximum a posteriori approach to develop a constrained optimization solution. A parametric representation provides the framework for the solution presented here. We develop a recursive solution using past history. This method provides significantly improved resolution over conventional and adaptive beamforming. Three real data sets demonstrate these performance improvements.