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文章论述了用于检测淹没在非瑞利杂波中的起伏目标的相干渐近最佳检测器(AOD)的合成。对于所提出的检测方案,评价了(大样本量)渐近性能。结果表明:与线性检测器相比。如果样本容量足够大。采用渐近最佳检测器一般可显著地改善性能。然而在雷达系统设计中,这一条件是受到技术方面的限制的。文章也通过计算机仿真对这种制约条件下的AOD的性能进行了研究,证明使用有限大容量的样本不能达到渐近理论的期望值。本文在最后提出了一个相当简单的混合检测方案,在实际运行环境中,其性能均优于渐近最佳检测器和线性检测器。
The article discusses the synthesis of coherent asymptotically optimal detector (AOD) for detecting undulating targets submerged in non-Rayleigh clutter. Asymptotic performance (large sample size) was evaluated for the proposed test scheme. The results show that compared with the linear detector. If the sample size is large enough. The use of asymptotic best detector generally can significantly improve performance. However, in radar system design, this condition is subject to technical limitations. The article also studies the performance of AOD under such constraints by computer simulation, and proves that the expected value of asymptotic theory can not be achieved by using a sample with a limited capacity. In the end, this paper presents a fairly simple hybrid detection scheme that outperforms the asymptotic best detector and linear detector in the real operating environment.