Synthesis of Unequally Spaced Antenna Arrays by Using Inheritance Learning Particle Swarm Optimization

In this paper, synthesis of unequally spaced linear antenna arrays based on an Inheritance Learning Particle Swarm Optimization (ILPSO) is presented. In order to improve the optimization efficiency of the PSO algorithm, the authors propose an inheritance learning strategy that can be applied to different topology of different PSO algorithms. In ILPSO algorithm, each cycle contains several PSO optimization processes, and uniform initial particle positions, part of which inherited from the good results in pre-cycles, are adopted in post-cycles.

Subscribe to the Innovation Insider Newsletter

Catch up on the latest tech innovations that are changing the world, including IoT, 5G, the latest about phones, security, smart cities, AI, robotics, and more. Delivered Tuesdays and Fridays

Subscribe to the Innovation Insider Newsletter

Catch up on the latest tech innovations that are changing the world, including IoT, 5G, the latest about phones, security, smart cities, AI, robotics, and more. Delivered Tuesdays and Fridays

Resource Details

Provided by:
EMW Publishing
Topic:
Mobility
Format:
PDF