Noise- and Distortion-Shaping N-port CMOS LNAs for Large Aperture Arrays
Abstract
Project SummaryNoise- and Distortion-Shaping N-port CMOS LNAs for Large Aperture ArraysArjuna Madanayake (PI) and Soumyajit Mandal (co-PI)Digital apertures are a key component of communications, electronic warfare, and radar systems. The sensitivity, linearity and dynamic range of the receivers within these apertures play a crucial role in detecting weak signals in the presence of interference and jamming. In particular, the low noise amplifiers (LNAs) that interface to the receive elements must have both low noise figure(NF) and high linearity to furnish the desired performance under adverse conditions. Meeting these performance requirements becomesparticularly challenging for broadband LNAs implemented in low-cost CMOS fabrication processes due to their limited voltage headroom. The proposed research will adapt delta-sigma Delta-Sigma noise shaping algorithms, which are commonly used in analog-to-digital converters (ADCs), to significantly improve both the NF and linearity of broadband CMOS LNAs.We have been able to apply the Delta-Sigma concept to spatio-temporal multi-dimensional (MD) circuits and systems that are typically found in aperture antenna arrays. Our work has shown that all types of electronic noise and non-linear distortion sources can be reduced by using spatio-temporal extensions of Delta-Sigma modulation. Here, we focus on using Delta-Sigma circuits to design and test a new class of multi-port broadband LNAs for aperture applications. The proposed multi-port LNAs exploit multidimensional noise and distortion shaping to improve both the noise figure (sensitivity) and linearity (resilience to jamming) of RF apertures.New theory will be developed, simulated using custom codes, and evaluated for potential performance increases in Naval phased-array systems. Designs will be ported to 65nm CMOS analogintegrated circuit technology, fabricated, and tested in a laboratory environment.Approved for Public Release
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 12, 2023
- Source ID
- N000142312375
Entities
People
- Arjuna Madanayake
Organizations
- Florida International University
- Office of Naval Research
- United States Navy