Combining Matrix Design for 2D DoA Estimation with Compressive Antenna Arrays

Sankalp Pawar1, Anastasia Lavrenko2, Florian Roemer, M. Ibrahim3, Giovanni Del Galdo, Reiner S. Thomä

  • 1TU Ilmenau
  • 2Ilmenau University of technology
  • 3Technische Universität Ilmenau

Details

12:10 - 14:20 | Fri 16 Mar | ID 04/445 | P02-15

Session: Signal Processing for Wireless

Abstract

In compressive arrays, a (large) number of antenna outputs is linearly combined to a lower number of receiver channels with the aim to reduce hardware complexity without significantly compromising the estimation performance. In this paper, we develop a method for the combining matrix design for 2D DoA estimation with compressive arrays. We base our design on the antenna's spatial correlation function (SCF) in an attempt to produce an effective compressive array with estimation capabilities close to those of the original array before the combining. Due to the need to consider the SCF both in azimuth and elevation, the size of the resulting optimization problem becomes prohibitive.To reduce the optimization complexity, we propose an iterative design approach that allows a trade-off between complexity and the performance.