A new approach for ground moving target indication in foliage environment

• Published in: Signal processing Vol. 86; no. 1; pp. 84 - 97
• Main Authors: Cai, Chengjie, Liu, Weixian, Fu, Jeffrey Shiang, Lu, Yilong
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 2006; Elsevier Science
• Subjects: Applied sciences; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; Image processing; Information, signal and communications theory; Signal and communications theory; Signal processing; Signal, noise; Telecommunications and information theory; Doppler frequency; Moving target; Time frequency domain method; Image processing; Signal estimation; Radar; Foliage; Adaptive method; Target detection; Hilbert transformation
• ISSN: 0165-1684; 1872-7557
• DOI: 10.1016/j.sigpro.2005.04.011

Ground moving target indication (GMTI) in foliage environment is a challenging problem, because the strong echoes from dense foliage environment and big attenuation of the radar microwave often make it difficult for traditional time frequency distributions to clearly and locally represent the Doppler frequency. This paper introduced a new approach to improve the performance of GMTI. This so-called Hilbert Huang Transform (HHT) method composes of empirical mode decomposition (EMD) and Hilbert transform technique. EMD is applied to extract target signal from interference and the associated Hilbert transform calculates the instantaneous Doppler frequency, representing a novel Hilbert spectrum in time frequency domain. Both simulative and experimental signals are used to validate the efficiency of HHT. This adaptive approach offers higher signal to disturbance ratio and higher resolution in the time frequency distribution.