Mendeley
TY  _  JOUR
ID  -  1402011541771
TI  -  Detection of Quantized Sparse Signals Using Locally Most Power Full Detector in Wireless Sensor NetworkS
JO  -  Nashriyyah -i Muhandisi -i Barq va Muhandisi -i Kampyutar -i Iran
JA  -  ES
LA  -  fa
SN  -  16823745
AU  -  Mohammadi Abdolreza
AU  -  Jajarmi Amin
AD  -  
AD  -  دانشگاه بجنورد
Y1  -  2024
PY  -  2024
VL  -  1
IS  -  
SP  -  59
EP  -  66
KW  -  wireless sensor network
KW  -   locally most powerful
KW  -   sparse signal
KW  -   non-ideal channel
KW  -   quantization
DO  -  
N2  -  This paper addresses the problem of distributed detection of stochastic sparse signals in a wireless sensor network. Observations/local likelihood ratios in each sensor node are quantized into 1-bit and sent to a fusion center (FC) through non-ideal channels. At the FC, we propose two sub-optimal detectors after that the data are fused based on the locally most powerful test (LMPT). We obtain the quantization threshold for each sensor node via an asymptotic analysis of the performance of the detector. It is realized that the quantization threshold depends on the bit error probability of the channels between the sensor nodes and the FC. Simulation results are carried out to confirm our theoretical analysis and to depict the performance of the proposed detectors.
UR  - rimag.ir/en/Article/41771
L1  - rimag.ir/en/Article/Download/41771
ER  -  
