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A New Method for Improving the Detection Capability of RADAR in the Presence of Noise

机译：噪声存在下提高雷达探测能力的新方法

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A RADAR system deals with many different and diverse problems for the last few decades. The detection capability of radar is one of the most important factors. The main objective of radar target detection is to improve probability of detection while reducing probability of a false alarm at the same time. To improve the probability of detection of moving target, a new approach is proposed in this paper using wavelet and Hough transforms. The wavelet de-noising technique is used to remove noise from received signal. Then the image processing technique of the Hough transform is used to detect moving target. To reduce the noises form received signal, we propose a new wavelet threshold function that reduces constant error of soft thresholding and improves the discontinuity of hard thresholding. We present performances of our method on a basis of the new thresholding technique and compare with traditional method. It is shown that detection performance of proposed method is superior to that obtained through traditional method.
机译：在过去的几十年中，RADAR系统处理了许多不同的问题。雷达的探测能力是最重要的因素之一。雷达目标检测的主要目的是提高检测概率，同时减少误报的可能性。为了提高运动目标的检测概率，本文提出了一种利用小波和霍夫变换的新方法。小波消噪技术用于去除接收信号中的噪声。然后使用霍夫变换的图像处理技术来检测运动目标。为了减少接收信号的噪声，我们提出了一种新的小波阈值函数，该函数可以减小软阈值的恒定误差并改善硬阈值的不连续性。我们在新的阈值技术的基础上介绍了我们方法的性能，并与传统方法进行了比较。结果表明，所提方法的检测性能优于传统方法。

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