Real Time Adaptive Beamforming and Interference Mitigation
Abstract
The problem addressed in the proposed research is real time pattern control, sidelobe suppression, and deep-nullinterference cancel""lation for sparse, tiled antenna arrays. Much work has already been done in these areas, but existing techniques are typically limit""ed to narrowband operation, or require extremely high cost digital hardware. The last few years have seen a proliferation of open so"urce hardware platforms and an increase in computational power and bandwidth which open up new possibilities for real time adaptive beamforming. We propose an architecture basedon field programable gate arrays (FPGAs) that run polyphase filter banks to separate" a wideband signal into narrow subbands, followed by graphical processing units (GPUs) to perform array calibration, correlation, an""d beamforming in real time. FPGAs are well suited to simple signal processing steps such as FFTs, but for higher-level, matrix-based"" algorithms, developing FPGA firmware is extremely time-intensive and is inefficient in gate allocation. This hybrid architecture wi""th GPUs for the high level tasks is optimal for wideband array signal processing. A flexible broadband, multichannel digital signal"" processing system will be developed, with reconfigurable combinations of bandwidth and number of array element channels, and includ"ing digital sampling on transmit and receive. The system will be used to demonstrate rapidly updated phased array beamforming and interference nulling for both sparse and dense planar and circular antenna arrays.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Dec 20, 2017
- Source ID
- N000141812040
Entities
People
- Karl Warnick
Organizations
- Brigham Young University
- Office of Naval Research
- United States Navy