AN ANALYSIS OF SPECTRUM SHARING FOR RADAR APPLICATIONS

Open Access
Author:
Pooler, Rick Kevin
Graduate Program:
Electrical Engineering
Degree:
Master of Science
Document Type:
Master Thesis
Date of Defense:
August 31, 2016
Committee Members:
  • Ram Narayanan, Thesis Advisor
  • Timothy Kane, Committee Member
  • Anthony Martone, Committee Member
Keywords:
  • Spectrum Sensing
  • Cognitive Radar
  • Spectrum Sharing
  • Optimal Sub-band
Abstract:
The author in conjunction with The Pennsylvania State University and the United States Army Research Laboratory (ARL) has developed a multichannel superheterodyne signal analyzer aptly named the Spectrum Analysis Solution (SAS). The intended application of SAS is to perform multi-purpose spectrum sensing to support the cognitive radar effort. The SAS operates from ultra high frequency (UHF) to the S-band and features a wideband channel with eight narrowband channels. The wideband channel acts as a monitoring channel which can be used to tune the instantaneous band of the narrowband channels to areas of interest in the spectrum. The data collected from the SAS has been utilized to develop spectrum sensing algorithms for the budding field of spectrum sharing (SS) radar. Bandwidth (BW), average total power, percent occupancy (PO), signal to interference plus noise ratio (SINR), and power spectral entropy (PSE) have been examined as metrics for the characterization of the spectrum. These metrics are utilized to determine a contiguous optimal sub-band (OSB) for a SS radar transmission in a given spectrum for different modalities. Three OSB algorithms are presented herein: the spectrum sensing multi objective (SS-MO), the spectrum sensing with brute force PSE (SS-BFE), and the spectrum sensing multi-objective with brute force PSE (SS-MO-BFE). The SS-MO function uses a weighted sum multi-objective (WSMO) function to balance the SINR/BW trade-off for selecting an OSB that allows for maximized radar performance. This OSB determination technique is used as a baseline of comparison for two new OSB selection techniques, the SS-BFE and the SS-MO-BFE. The SS-BFE is designed to find an OSB with maximized electromagnetic compatibility (EMC) in which a radar can perform its intended operation. The SS-MO-BFE determines an OSB that provides a compromise between the SS radar’s operation EMC.