一个改进的基于PSO的高线性优化升级转换混合器,用于雷达应用
Tahesin Samira Delwar1, Unal Aras1, Abrar Siddique2
1Department of Smart Robot Convergence and Application Engineering, Pukyong National University, Busan 48513, Republic of Korea.
Sensors (Basel, Switzerland)
|February 10, 2024
概括
这项研究引入了改进的粒子群优化 (RPSO) 算法,以增强雷达升级转换混合器. RPSO算法通过克服传统方法的局限性来提高性能,从而产生高效和高线性雷达电路.
科学领域:
- 电气工程 电气工程
- 信号处理 信号处理
- 优化算法 优化算法
背景情况:
- 雷达系统中传统的上转换混合器表现出高功耗,不良线性和不充分的转换增益.
- 现有的优化算法,如传统的粒子群优化 (TPSO),存在局部最佳和过早的融合问题.
研究的目的:
- 提出一个改进的粒子群优化 (RPSO) 算法,用于优化雷达应用中的升级转换混合器电路.
- 提高混合器性能指标,包括线性,转换增益和功率效率.
- 为了解决传统优化方法在电路设计中的局限性.
主要方法:
- 开发了一种新的RPSO算法,结合了基于位置的速度融合 (VPC) 和波纹突变 (WM) 策略,以改善群体多样性并避免局部最佳.
- 实现了使用双重传导路径 (TTP) 的新型电路配置,与差异常源 (DCS) 放大器和增强的交叉四极传导器 (ECQT) 进行了改进,以提高线性.
- 通过基准函数验证和与遗传算法 (GA) 和非主导排序遗传算法II (NSGA-II) 的比较,验证了RPSO的有效性.
主要成果:
- 该RPSO优化的混合器实现了2.5dB的测量转换增益 (CG).
- 证明了高线性,其1dB压缩点 (OP1dB) 为4.2dBm.
- 混合器的低噪声值 (NF) 约为3.1dB,功耗低3.24mW,使用RPSO的平均设计时间为4.535s.
结论:
- 拟议的RPSO算法有效地优化了用于雷达应用的上转换混合器电路,克服了传统方法的局限性.
- 新的电路配置和RPSO优化在转换增益,线性,噪声数字和功率效率方面取得了显著的改进.
- 模拟和测量结果证实了RPSO优化的升级转换混合机的出色性能.
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