Mitigating Interference with Knowledge Aided Subarray Pattern Synthesis and Space Time Adaptive Processing
Abstract
Phased arrays are essential to airborne GMTI, as they measure the spatial angle-of-arrival of the target, clutter, and interference signals. The spatial and Doppler (temporal) frequency is utilized by STAP to separate and filter out the interference from the moving target returns. Achieving acceptable airborne GMTI performance often requires fairly large arrays, but the SWAP requirements, cost and complexity considerations often result in the use of subarrays. This yields an acceptable balance between cost and performance while lowering the systems robustness to interference. This thesis proposes the use of knowledge aided adaptive radar to institute adaptive subarray nulling in concert with digital space-time adaptive processing to improve performance in the presence of substantial interference. This research expands previous work which analyzed a clutter-free AMTI application of KASPS and updates this previous research by applying the same concept to the GMTI application with clutter and STAP.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 14, 2018
- Accession Number
- AD1056652
Entities
People
- Yongjun Yoon
Organizations
- Air Force Institute of Technology