Mmse-Based Autocorrelation Sampling for Comprime Arrays
Dimitris G. Chachlakis, Panos P. Markopoulos, Fauzia Ahmad
Abstract
Sampling the physical-array autocorrelations is the initial processing step in standard direction-of-arrival (DoA) estimation with coprime arrays. These samples are then organized into an autocorrelation matrix estimate of a uniform-linear virtual coarray, which in turn is used for DoA estimation. Existing autocorrelation-sampling approaches provide the exact coarray autocorrelation matrix for asymptotically large sample support; however, they attain arbi-trary/suboptimal mean-squared estimation error (MSE) for lim-ited/low sample support. In this work, we present a minimum- MSE (MMSE) approach for autocorrelation sampling. The proposed method offers a superior autocorrelation-matrix estimate that can attain higher DoA estimation accuracy than the standard counterparts.
BibTeX
@inproceedings{icassp2018_mmsebasedautocor,
title = {Mmse-Based Autocorrelation Sampling for Comprime Arrays},
author = {Dimitris G. Chachlakis and Panos P. Markopoulos and Fauzia Ahmad},
booktitle = {ICASSP 2018},
year = {2018}
}