Near real-time simultaneous range and velocity processing in a random noise radar

The Air Force Institute of Technology (AFIT) has developed an ultrawideband (UWB) random noise radar (RNR) that operates in the UHF band. The large fractional bandwidth and lack of phase coherency within the AFIT RNR necessitate an alternative to classical Doppler processing for velocity estimation. A time-domain approach to simultaneous range and velocity processing has been implemented in the AFIT RNR but results in significant memory requirements and impractical processing times. This paper presents a method to reduce the two-dimensional (2D) processing time by over an order of magnitude by segmenting the signal processing algorithm in order to parallelize on a graphics processing unit (GPU).