局部均匀环境中自适应极化与波形优化检测

Adaptive polarization and waveform design detection in partially homogeneous environment

研究了一种局部均匀环境中的自适应优化检测算法。首先提出了两种波形设计方案;然后基于自适应子空间检测器提出自适应极化分集与波形设计联合优化检测算法,该算法首先将优化检测问题转化为多参数的联合优化问题;进而应用田口优化算法解决该优化问题。仿真实验证明,在局部均匀环境中提出算法相比其他算法检测性能获得了极大改善;重要的是,由于引入高效的田口优化算法,提出算法的效率得以极大提高。

An adaptive detection method in partially homogeneous environments is addressed. Firstly, two approaches for the transmitted waveform design are proposed. Secondly, the adaptive polarization diversity and waveform design optimization algorithm based on adaptive subspace detector （ASD） is proposed, which makes the optimization detection issue transform into a multiple parameters optimization problem. Thirdly, the Taguchi optimization algorithm is used to solve this problem. Experiment results indicate that further improvement in detection performance can be achieved by the proposed method. Most importantly, the proposed method has high efficiency because of using the Taguchi optimization algorithm.