An improved adaptive genetic algorithm is presented in this paper. It primarily includes two modified methods： one is novel adaptive probabilities of crossover and mutation, the other is truncated selection approach....An improved adaptive genetic algorithm is presented in this paper. It primarily includes two modified methods： one is novel adaptive probabilities of crossover and mutation, the other is truncated selection approach. This algorithm has been validated to be superior to the simple genetic algorithm （SGA） by a complicated binary testing function. Then the proposed algorithm is applied to optimizing the planar retrodirective array to reduce the cost of the hardware. The fitness function is discussed in the optimization example. After optimization, the sparse planar retrodirective antenna array keeps excellent retrodirectivity, while the array architecture has been simplified by 34%. The optimized antenna array can replace uniform full array effectively. Results show that this work will gain more engineering benefits in practice.展开更多
Future communications will provide higher transmission rates and higher operating frequencies.In addition,agile beam tracking will be an inevitable trend in technology development.The terahertz retrodirective antenna ...Future communications will provide higher transmission rates and higher operating frequencies.In addition,agile beam tracking will be an inevitable trend in technology development.The terahertz retrodirective antenna array proposed and discussed in this paper can be a better solution for agile beam tracking.The array receives a 40-GHz navigation signal and accurately retransmits a 120-GHz beam in the direction of the arrival wave.Simulation results indicate that the proposed array with a stacked sandwich structure has realized the tracking of the received wave.The scanning radiation pattern shows that the array gain is 23.87 d B at 19.9°when the incident angle is 20°with a relative error of only 0.5%,meaning that there is a lateral error of only 8.7 m at a transmission distance of 5 km.展开更多
文摘An improved adaptive genetic algorithm is presented in this paper. It primarily includes two modified methods： one is novel adaptive probabilities of crossover and mutation, the other is truncated selection approach. This algorithm has been validated to be superior to the simple genetic algorithm （SGA） by a complicated binary testing function. Then the proposed algorithm is applied to optimizing the planar retrodirective array to reduce the cost of the hardware. The fitness function is discussed in the optimization example. After optimization, the sparse planar retrodirective antenna array keeps excellent retrodirectivity, while the array architecture has been simplified by 34%. The optimized antenna array can replace uniform full array effectively. Results show that this work will gain more engineering benefits in practice.
基金Project supported by the National Key R&D Program of China(No.2018YFB1801505)the National Natural Science Foundation of China(Nos.61527805 and 61731001).
文摘Future communications will provide higher transmission rates and higher operating frequencies.In addition,agile beam tracking will be an inevitable trend in technology development.The terahertz retrodirective antenna array proposed and discussed in this paper can be a better solution for agile beam tracking.The array receives a 40-GHz navigation signal and accurately retransmits a 120-GHz beam in the direction of the arrival wave.Simulation results indicate that the proposed array with a stacked sandwich structure has realized the tracking of the received wave.The scanning radiation pattern shows that the array gain is 23.87 d B at 19.9°when the incident angle is 20°with a relative error of only 0.5%,meaning that there is a lateral error of only 8.7 m at a transmission distance of 5 km.
