ICASSP 2016accepted0 citations

A lattice algorithm for optimal phase unwrapping in noise

Wenchao Li, Xuezhi Wang, Bill Moran

Abstract

Use of the phase of a signal to measure distance carries an inherent ambiguity. The problem is typically addressed by the use of several different frequencies and the Chinese Remainder Theorem or lattice methods, but these methods result in computational complexity issues. The difficulties are increased by the presence of noise. This paper presents a lattice-based algorithm to resolve phase ambiguity more efficiently and under more relaxed constraints than existing approaches. Simulations are presented to illustrate the performance of the proposed algorithm and compared with existing methods.

BibTeX
@inproceedings{icassp2016_alatticealgorith,
  title = {A lattice algorithm for optimal phase unwrapping in noise},
  author = {Wenchao Li and Xuezhi Wang and Bill Moran},
  booktitle = {ICASSP 2016},
  year = {2016}
}
A lattice algorithm for optimal phase unwrapping in noise · ICASSP 2016