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.
On the effectiveness of multiple antennas in distributed detection over fading MACs,
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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.