Time delay estimation based on log-sum and l-norm penalized minor component analysis

Jun-Seok Lim; Hee-Suk Pang; Keunhwa Lee

doi:10.1121/1.5042353

Time delay estimation based on log-sum and l-norm penalized minor component analysis

J Acoust Soc Am. 2018 Jun;143(6):3979. doi: 10.1121/1.5042353.

Authors

Jun-Seok Lim¹, Hee-Suk Pang¹, Keunhwa Lee²

Affiliations

¹ Department of Electrical Engineering, Sejong University, Kunja, Kwangjin, 98, 143-747 Seoul, Korea.
² Department of Defense Systems Engineering, Sejong University, Kunja, Kwangjin, 98, 143-747 Seoul, Korea.

PMID: 29960456
DOI: 10.1121/1.5042353

Abstract

Time-delay estimation (TDE), which measures the relative time delay between different receivers, is a fundamental approach for identifying, localizing, and tracking radiating sources. The generalized cross-correlation method is the most popular and is well explained in a landmark paper by Knapp and Carter [(1976). IEEE Trans. Acoust. Speech Signal Process. 24(4), 320-327]. Adaptive eigenvalue decomposition- (EVD) based algorithms have also been developed to improve TDE performance, especially in reverberant environments. This paper extends the adaptive EVD algorithm to utilize the sparsity in transfer channel between source and receivers. Two estimation algorithms based on the log-sum and l_p-norm penalized minor component analysis by excitatory and inhibitory learning rules is proposed. In addition, simulations with uncorrelated, correlated noise and reverberation for several signal-to-noise ratios are performed to show the improved estimation performance in noise and reverberation.

Publication types

Research Support, Non-U.S. Gov't