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An Improved Velocity Estimation Method for Wideband Multi-Highlight Target Echoes in Active Sonar Systems

机译:主动声纳系统中宽带高亮目标回波的一种改进的速度估计方法

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摘要

In active sonar systems, the target echoes are usually equivalent to a superposition of the Doppler-scaled reflections from multiple highlights. The reflections overlap with each other both in the time and frequency domain, which results in a decreased velocity estimation performance. Recently, the hyperbolic-frequency modulated signal has been widely employed in sonar systems for moving targets due to its Doppler tolerance, while the precise velocity estimation becomes a great challenge under such conditions. In this paper, the echo c is modeled onsidering a target with a constant velocity and multi-highlights. The velocity estimation performance is analyzed though the signal’s matched filter and the wideband ambiguity function. An improved method based on the sliding window matching algorithm is proposed to improve the performance. The method controls the energy of environmental noise and interference by focusing on the dominant target highlight, and applying a designed window which utilizes the Doppler characteristics of hyperbolic-frequency modulated signals. Simulations and lake experiment allow us to compare between the improved method and the conventional matched filter method. The results verify the influence of the multi-highlights in velocity estimation and indicate that the improved method has more effective performance.
机译:在有源声纳系统中,目标回波通常等效于来自多个高光的多普勒缩放反射的叠加。反射在时域和频域中相互重叠,从而导致速度估计性能降低。近来,双曲频率调制信号由于其多普勒公差而被广泛用于声纳系统中的移动目标,而在这种条件下精确的速度估计成为一个巨大的挑战。在本文中,回声c是在具有恒定速度和多高光的目标旁边建模的。通过信号的匹配滤波器和宽带歧义函数来分析速度估计性能。提出了一种基于滑动窗口匹配算法的改进方法,以提高性能。该方法通过聚焦于主要目标高光并应用设计的窗口来控制环境噪声和干扰的能量,该窗口利用了双曲线频率调制信号的多普勒特性。仿真和湖实验使我们可以比较改进的方法和常规的匹配滤波方法。结果验证了多高亮在速度估计中的影响,并表明改进的方法具有更有效的性能。

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