A cyclic optimization framework, combining Gram-Schmidt and power-method iterations, designs sensor complex gains for centralized and decentralized parameter estimation with much lower complexity than SDP baselines.
Estimation in phase-shift and forward wireless sensor networks,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Optimized Transmission for Parameter Estimation in Wireless Sensor Networks
A cyclic optimization framework, combining Gram-Schmidt and power-method iterations, designs sensor complex gains for centralized and decentralized parameter estimation with much lower complexity than SDP baselines.