Detection of Sparse Stochastic Signals With Quantized Measurements in Sensor Networks | Zendy

Xueqian Wang | Zendy; Gang Li | Zendy; Pramod K. Varshney | Zendy

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Detection of Sparse Stochastic Signals With Quantized Measurements in Sensor Networks

Author(s) -

Xueqian Wang,

Gang Li,

Pramod K. Varshney

Publication year - 2019

Publication title -

ieee transactions on signal processing

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.638

H-Index - 270

eISSN - 1941-0476

pISSN - 1053-587X

DOI - 10.1109/tsp.2019.2903034

Subject(s) - detector , fusion center , quantization (signal processing) , gaussian , computer science , algorithm , detection theory , wireless sensor network , sensor fusion , artificial intelligence , cognitive radio , physics , wireless , telecommunications , computer network , quantum mechanics

In this paper, we consider the problem of detection of sparse stochastic signals with quantized measurements in sensor networks. The observed sparse signals are assumed to follow the Bernoulli-Gaussian distribution. Due to the limited bandwidth in sensor networks, the local sensors are required to send quantized measurements to the fusion center. First, we propose a detector using the locally most...

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