In this paper, we derive a tensor-based filtering approach using an antenna array and a compression method based on canonical components (CC) with a bank of ...

A tensor-based filtering approach using an antenna array and a compression method based on canonical components with a bank of signal matched correlators is ...

Aug 31, 2017 · Particularly robust solutions can be accomplished by using a tensor-based receiver that combines data from multiple sensors and sampling periods ...

Notice that the tensor-based PAST technique consists of a rank-1 update of the estimated signal subspace matrix. The method does not provide the exact basis of ...

Mar 11, 2016 · presents the tensor-based approach for time delay estimation. The computational complexity of each proposed algorithm is studied in Section ...

The HOSVD-SECSI based approach outperforms all the state-of-the-art tensor-based algorithms for time-delay estimation, mainly, for scenarios with highly ...

In this paper, we derive a tensor-based filtering approach using an antenna array and a compression method based on canonical components (CC) with a bank of ...

Nov 20, 2019 · In this work, we propose a tensor-based subspace tracking framework to reduce the overall computational complexity of the highly accurate tensor ...

Bibliographic details on Tensor-Based Approach for Time-Delay Estimation.

Nov 20, 2019 · Tensor-based time-delay estimation methods, such as CPD-GEVD, DoA/KRF, andSECSI, combined with the GPS3 L1C signal, are capable of ...