A Bistatic MIMO Radar Angle Estimation Method for Coherent Sources in Impulse Noise Background
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A Bistatic MIMO Radar Angle Estimation Method for Coherent Sources in Impulse Noise Background Jian Gong1,2,3 · Yiduo Guo2 Accepted: 29 October 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract In order to solve the angle estimation problem of coherent sources in the impulse noise background, an algorithm based on infinite norm normalization preprocessing and sparse representation (INN-SR) is proposed. First, an infinite norm normalization preprocessing method is used to reduce the impact of the impact noise. Then the sparse decomposition method is used to construct the restoration dictionary to estimate the DOA and DOD. Finally, accurate matching of target DOA and DOD is achieved based on maximum likelihood method. The algorithm does not need to know the number of sources and can also work well for coherent sources. Keywords Direction of arrival · Multiple-input multiple-output radar · Sparse representation · Impulse noise
1 Introduction The concept of MIMO radar was first proposed by Rabideau and Peter in 2003, and quickly attracted wide attention from the military and academic circles, and has become a research hotspot. Target parameter estimation is a very important research direction of MIMO radar. The current research focuses on the application of spatial spectrum estimation methods in MIMO radar, such as Multiple Signal Classification (MUSIC), Maximum Likelihood (ML), Estimation of Signal Parameter via Rotational Invariance Technique (ESPRT), etc. The above studies usually assume that the noise background is ideal white Gaussian noise. However, there is not only Gaussian noise, but also a lot of impulse noise in the real working environment of MIMO
* Yiduo Guo [email protected] Jian Gong [email protected] 1
University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, People’s Republic of China
2
Air Force Engineering University, Xi’an, Shaanxi 710051, People’s Republic of China
3
Tong Fang Electronic Science and Technology Co. Ltd., Jiujiang 332007, Jiangxi, China
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J. Gong, Y. Guo
radar [1–6]. It is of theoretical and engineering significance to study MIMO target angle estimation in Impulse Noise Background. In terms of spectrum estimation, Nikias proposed AR spectrum estimation method based on covariant coefficient, least square and minimum p-norm [7, 8], Kuruoglu proposed AR spectrum estimation method based on minimum norm [9]. Gross et al. proposed AR spectrum estimation method of minimum absolute value error [10, 11]. The basic structure of these spectral estimation methods still follows the Yule Walker equation of traditional AR spectrum estimation, but the elements of the equation have changed. Recent research on impulse noise background is based on fractional lower order statistics [12, 13] and noise distribution characteristics. These methods include space-time DOA estimation [14], robust ESPRIT algorithm based on correlation entropy [15], and new de-impact DOA method of SαS [16]. But these algorithms nee
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