This paper discusses the architecture of an adaptive transmitting microstrip array that allows beamsteering and beamshaping with high flexibility. The structure is controlled digitally by an field programmable gate array (FPGA) board. The power and phase of the signals to be delivered to the array elements are optimized by an algorithm based on particle swarm optimization (PSO), including all electromagnetic effects such as mutual coupling and platform influences. The efficiency of the proposed approach is validated by measurements for different beam steering conditions including side lobe level control and beam shaping for squared cosecant and isoflux contours. The paper addresses several implementation aspects that are not commonly f...
Abstract Massive multiple input multiple output antenna array is crucial for the fifth generation wi...
The technology of smart or adaptive antenna for mobile communications has received huge interest wor...
This thesis studies the effectiveness of bio-inspired optimization algorithms in controlling adapti...
This paper discusses the architecture of an adaptive transmitting microstrip array that allows beam...
The Particle Swarm Optimization Technique has been widely studied by researchers, since they act as...
[[abstract]]In this paper, an innovative optimal radiation pattern of an adaptive linear array is de...
This thesis studies the effectiveness of bio-inspired optimization algorithms in controlling adaptiv...
Abstract This paper presents the optimization performance of non-uniform linear antenna array with o...
This paper presents a four-element linear arraycomposed of E-shaped microstrip antennas designed to ...
This paper presents a four-element linear arraycomposed of E-shaped microstrip antennas designed to ...
Two approaches towards beamforming based on constrained particle swarm optimization (PSO) are presen...
Two approaches towards beamforming based on constrained particle swarm optimization (PSO) are presen...
Two approaches towards beamforming based on constrained particle swarm optimization (PSO) are presen...
A method of computing the optimum element distance position of multi-objectives adaptive linear ante...
In this paper, a linear phased array is synthesized to produce a desired far field radiation pattern...
Abstract Massive multiple input multiple output antenna array is crucial for the fifth generation wi...
The technology of smart or adaptive antenna for mobile communications has received huge interest wor...
This thesis studies the effectiveness of bio-inspired optimization algorithms in controlling adapti...
This paper discusses the architecture of an adaptive transmitting microstrip array that allows beam...
The Particle Swarm Optimization Technique has been widely studied by researchers, since they act as...
[[abstract]]In this paper, an innovative optimal radiation pattern of an adaptive linear array is de...
This thesis studies the effectiveness of bio-inspired optimization algorithms in controlling adaptiv...
Abstract This paper presents the optimization performance of non-uniform linear antenna array with o...
This paper presents a four-element linear arraycomposed of E-shaped microstrip antennas designed to ...
This paper presents a four-element linear arraycomposed of E-shaped microstrip antennas designed to ...
Two approaches towards beamforming based on constrained particle swarm optimization (PSO) are presen...
Two approaches towards beamforming based on constrained particle swarm optimization (PSO) are presen...
Two approaches towards beamforming based on constrained particle swarm optimization (PSO) are presen...
A method of computing the optimum element distance position of multi-objectives adaptive linear ante...
In this paper, a linear phased array is synthesized to produce a desired far field radiation pattern...
Abstract Massive multiple input multiple output antenna array is crucial for the fifth generation wi...
The technology of smart or adaptive antenna for mobile communications has received huge interest wor...
This thesis studies the effectiveness of bio-inspired optimization algorithms in controlling adapti...