- Research Article
- Open Access
Decentralized Turbo Bayesian Compressed Sensing with Application to UWB Systems
EURASIP Journal on Advances in Signal Processing volume 2011, Article number: 817947 (2011)
In many situations, there exist plenty of spatial and temporal redundancies in original signals. Based on this observation, a novel Turbo Bayesian Compressed Sensing (TBCS) algorithm is proposed to provide an efficient approach to transfer and incorporate this redundant information for joint sparse signal reconstruction. As a case study, the TBCS algorithm is applied in Ultra-Wideband (UWB) systems. A space-time TBCS structure is developed for exploiting and incorporating the spatial and temporal a priori information for space-time signal reconstruction. Simulation results demonstrate that the proposed TBCS algorithm achieves much better performance with only a few measurements in the presence of noise, compared with the traditional Bayesian Compressed Sensing (BCS) and multitask BCS algorithms.
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Yang, D., Li, H. & Peterson, G.D. Decentralized Turbo Bayesian Compressed Sensing with Application to UWB Systems. EURASIP J. Adv. Signal Process. 2011, 817947 (2011). https://doi.org/10.1155/2011/817947
- Information Technology
- Quantum Information
- Original Signal
- Compress Sensing
- Efficient Approach