Title :
A constant modulus matrix factorization for direction finding and array calibration
Author_Institution :
BAE Syst., Merrimack, NH, USA
Abstract :
In many geometric estimation problems, we must recover sets of unit-norm direction vectors from noise-contaminated inner product observations. This article shows (1) an approximate least squares recovery method similar to the algebraic constant modulus algorithm and (2) a direct application to direction finding with a sensor array of unknown geometry using time delay of arrival data.
Keywords :
array signal processing; calibration; direction-of-arrival estimation; least squares approximations; matrix decomposition; noise; algebraic constant modulus algorithm; approximate least squares recovery method; array calibration; constant modulus matrix factorization; direction finding; geometric estimation problems; noise-contaminated inner product observations; sensor array; time delay of arrival data; unit-norm direction vectors; Acoustic sensors; Calibration; Delay effects; Geometry; Least squares approximation; Matrix decomposition; Noise measurement; Pollution measurement; Reflection; Sensor arrays;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2002.803670
