Noise robust target identification based on the wave-coefficients-2dimension case. (11th November 2016)

• Record Type: Journal Article
• Authors: Jiang, Xiaomin; Lai, Yingxin; Xia, Mingyao
• Is Part Of: Inverse problems. Volume 32:Number 12(2016:Dec.)
• Publication Date: 2016-11-11
• Subjects: wave-coefficient -- target's identification -- tikhonov regularization -- L-curve method -- 2D targets; Inverse problems (Differential equations) -- Periodicals; 515.357
• DOI: 10.1088/0266-5611/32/12/125006
• Languages: English
• ISSNs: 0266-5611

Abstract

Abstract: To correctly identify a remote target in a noisy environment is very challenging. Usually, the accuracy of target recognition degrades under the condition of a low signal-to-noise ratio (SNR). Radar target identification based on wave-coefficients (WCs) is proposed and seems to be promising. We introduce the WCs of two-dimensional (2D) targets in this paper. The main problem of WC based target identification is that the extraction of wave-coefficients is an ill-posed problem. Thus the recognition results yielded in the presence of noise is not reliable. The regularization algorithm is exploited to extract the wave-coefficients, the regularization parameter is determined by the L-curve method. Simulation results using 4 2D targets show that the proposed scheme is effective and high target recognition rate is achieved in cases of low SNR scenarios.