Noise robust target identification based on the wave-coefficients-2dimension case

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.Natural Science Foundation of Guangdong Province, China [2014A030310126]; Foundation for Distinguished Youth Creative Talents in Higher Education of Guangdong, China [2014KQNCX220]; Dongguan Municipal Science and Technology Bureau [2016508102002]SCI(E)ARTICLEefforsn@163.com123