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The estimation of DOA is an important problem in sensor array signal processing and its industrial applications. Among all the solving techniques for DOA, the Stochastic Maximum Likelihood (SML) algorithm is well-known for its high accuracy of DOA estimation. However, its computational complexity is very high because a multi-dimensional nonlinear optimization problem is involved. The Particle Swarm...
The performance of Stochastic ML (SML) algorithm of Direction-of-Arrival (DOA) is much more superior to many other algorithms in array signal processing. However, the estimation of SML is a non-linear multi-dimensional optimization problem. Therefore its computational complexity is very high. In this paper, firstly we show exact definition of SML estimation of DOA for incoherent signals and brief...
A computationally efficient distributed beamforming technique for multi-user relay networks is developed. The channel state information is assumed to be known at the relays or destinations, and the total relay transmitted power is minimized subject to the destination quality-of-service constraints. It is shown that this problem can be approximately converted to a convex second-order cone programming...
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