Further advances in Co-prime Signal Processing

Abstract

This project proposes to make further advances in co-prime signal processing. The proposedwork includes research on sparse arrays" such as nested, coprime, and super nested arrays in one dimension, as well as work on two dimensional arrays, also known as planar" arrays. One focus will be the continuation of array geometry design. The goal is to find new arrays in one-dimension and two-dimens"ions with filled difference coarrays, such that certain constraints are satisfied in the original array domain. One of these is the"" constraint onmutual coupling. The performance analysis will be studied. Furthermore, techniques for compensating the effect of mut""ual coupling in these arrays will be explored. The idea of correlation subspaces, which is fundamental to difference coarrays, will"" be explored more deeply. Another important area to be explored is the use of Ramanujan sums for period estimation, especially in c""onnection with the continuous time periodicity problem. Finally, sparse arrays with one bit quantizers will be studied in greater de""tail.

Document Details

Document Type
DoD Grant Award
Publication Date
Jul 07, 2017
Source ID
N000141712732

Entities

People

  • Palghat Vaidyanathan

Organizations

  • California Institute of Technology
  • Office of Naval Research
  • United States Navy

Tags

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Distributed Systems and Data Platform Development
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)