@inproceedings{2d514005355f4f6082393f85e3f85e66,
title = "Persistently active block sparsity with application to direction-of-arrival estimation of moving sources",
abstract = "In this paper, the problem of recovering inconsistent sparse models from multiple observations is considered. A new method is developed by introducing a novel objective function, which exploits both block-level and element-level sparsities and promotes persistence in activity within a block. Then, we use a SVD-based method to reduce its computational complexity. Application of the method to the Direction-Of-Arrival (DOA) estimation of moving sources using a sensor array is presented and a simulation example is shown as a demonstration of the promising performance of the method in a moving DOA setting, particularly when sources are very close to each other.",
keywords = "Block Sparsity, DOA, Persistent Activity",
author = "J. Zheng and M. Kaveh",
year = "2011",
doi = "10.1109/CAMSAP.2011.6136035",
language = "English (US)",
isbn = "9781457721052",
series = "2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011",
pages = "393--396",
booktitle = "2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011",
note = "2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011 ; Conference date: 13-12-2011 Through 16-12-2011",
}