高速运动目标的自适应线谱增强算法研究

摘要

In this paper, an adaptive Line Enhancement (ALE) algorithm is studied when the Signal Noise Ratio (SNR) is low and the target of interest moves at a high speed that the Doppler shift of frequency is very large. The analysis of sea trial data shows that the effect of conventional ALE algorithm for this case is significant, but it requires a high SNR, and the processing speed is slow. Cumulant-Based Adaptive Dynamic Line Enhancement algorithm has a significant enhancement effect to the signal under the Gaussian colored noise, whereas its effect reduces when the line spectrum changes with low SNR. The effect of frequency-domain ALE algorithm for this case is very good and the computational complexity is also low.%本文研究了低信噪比、目标高速运动情况下,多普勒频移较大时针对线谱信号的自适应增强算法.对海试数据的分析表明,常规自适应线谱增强算法对多普勒频移下的线谱增强效果明显,但要求信噪比较高,且实时性较差:基于高阶累积量对角切片的自适应线谱增强算法对非线性高斯色噪声下的线谱增强效果显著,但对低信噪比环境下变化线谱的跟踪性能较差;频域批处理自适应线谱增强算法对低信噪比下的线谱信号具有很好的增强效果,降低了运算量.