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Analysis and Design of Adaptive Multi-Function Antenna Systems Based on Signal Fragmentation

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911NF-19-P-0027
Agency Tracking Number: A18B-009-0003
Amount: $149,968.06
Phase: Phase I
Program: STTR
Solicitation Topic Code: A18B-T009
Solicitation Number: 18.B
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2018-12-12
Award End Date (Contract End Date): 2019-06-12
Small Business Information
3247 Candlewood Lane
San Antonio, TX 78217
United States
DUNS: 968615703
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Richard Albanese
 (210) 240-4345
Business Contact
 Richard Albanese
Phone: (210) 240-4345
Research Institution
 North Carolina State University
 Sherrie Settle Sherrie Settle
2701 Sullivan Drive Admin Services III; Box 7514
Raleigh, NC 27695
United States

 (919) 515-2444
 Nonprofit College or University

We propose an innovative mathematical approach to the analysis and design of multi-function adaptive antenna systems. It uses the idea of signal fragmentation that has passed significant prior testing and employs the methods and results from sampling theory, approximation theory, and numerical optimization. The fragmentation of a signal into a combination of short elementary pulses (wavelets) allows the radiation of long waves by small size antennas/arrays, which would otherwise be inefficient. This, in turn, enables performing various diverse tasks, e.g., radar imaging and telecommunications, by one and the same compact antenna system. During Phase I, we will first consider CW signals. Our key goal is to optimize the energy performance of the array while maintaining the desired spectral ``purity'' of the composite signal and satisfying some additional constraints on its shape (related, e.g., to bounds on the input current rise times). We will then expand into AM and FM signals, including FMCW, chirped pulses, frequency-shift keying (FSK), and Baker codes (e.g., direct-sequence spread spectrum (DSSS) modulation). We will also use the results to design and fabricate an isotropic antenna prototype. Phase II will include non-isotropic antennas (analysis and fabrication), more comprehensive optimization, and development of a well-documented “sharable” software package.

* Information listed above is at the time of submission. *

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