A new method for improving the detection capability of RADAR in the presence of noise

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Abstract

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.

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Islam, M. S., Lee, J. C., Hwang, K., & Chong, U. (2016). A new method for improving the detection capability of RADAR in the presence of noise. Studies in Computational Intelligence, 647, 401–414. https://doi.org/10.1007/978-3-319-33353-3_21

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