Augmented Tensor MUSIC for DOA Estimation Using Nested Acoustic Vector-Sensor Array
Xinghao Qu, Yi Lou, Yunjiang Zhao, Yinheng Lu, Gang Qiao
Abstract
Nested acoustic vector sensor (AVS) arrays have attracted growing interest, and their performance can be further improved by assembling AVSs with spatially separated (SS) configurations. Following this trend, we propose an augmented tensor-MUSIC (AT-MUSIC) method for SS-AVSs while exploiting the inherent multidimensional structure of the array data. The implications of “augmented” are twofold: (i) conventional tensor models based on co-centered AVSs are generalized to the case of SS-AVSs, and (ii) available information is fully utilized by judiciously arranging and aggregating the received data. Finally, we show the enhanced performance of AT-MUSIC in simulations.
Topics & Concepts
Tensor (intrinsic definition)Computer scienceData modelingAlgorithmSpeech recognitionArtificial intelligenceMathematicsDatabasePure mathematicsDirection-of-Arrival Estimation TechniquesSpeech and Audio ProcessingAdvanced Adaptive Filtering Techniques