Knowledge based adaptive processing for ground moving target indication

This paper presents a preliminary knowledge based approach to Space-Time Adaptive Processing (STAP) for ground moving target indication from an airborne platform. The KB-processor accounts for practical aspects of adaptive processing, including detection and processing of non-homogeneous data, appropriate selection of training data, and accounting for array effects such as mutual coupling and channel mismatch. In combining these hitherto separate STAP issues into a unified approach, this paper furthers the move of STAP from theory to practice. The KB-approach is tested using measured data from the Multi-Channel Airborne Radar Measurements program.

• Type: Journal
• Year: 2007
• Where: DSP
• Authors: Raviraj Adve, Todd Hale, Michael C. Wicks
• Keywords: Adaptive Processing, DSP 2007, DSP 2010, Knowledge Based Approach, Space-Time Adaptive Processing