Waveform Diversity for Complex Environments
Abstract
Major Goals: In conjunction with the Spectrum Access Sensor for Situational analYsis (SASSY) program from OUSD(R and E) rapid reaction technology office (RRTO) being led by the Army Research Laboratory (ARL), this effort is investigating advanced methods for array processing and signal identification. This work also involves experimental evaluation in test equipment hardware and an RF system-on-a-chip (RF-SoC) to provide a physically meaningful feedback loop for further theoretical development. The major SASSY-associated goals therefore include: Demonstrate advanced direction-finding in ultrasonic and RF hardware using theoretically developed reiterative minimum mean-square error (RMMSE) estimation algorithms; Develop and demonstrate a time-frequency version of RMMSE estimation to realize an adaptive spectrogram capability for enhanced signal identification; Formulation and demonstrate a joint space/frequency version of RMMSE that performs both direction-finding and enhanced signal estimation, with the joint nature providing improved separability; Investigate the possible estimation enhancements that can be achieved when using distributed receivers performing the methods above; Investigate further expansions of these methods to incorporate other degrees of freedom. Separate from the SASSY effort we are also exploring: The development of advanced received processing to improve separability between intermodulation and harmonic responses arising in nonlinear radar.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 14, 2021
- Accession Number
- AD1200883
Entities
People
- Christopher S Allen
- Shannon D. Blunt
Organizations
- University of Kansas