Application of RELAX Algorithm in Radar TargetFeature Extraction
RELAX参数估计算法在雷达目标特征提取中的应用

In this paper, data models of returned chirp signal for Spotlight SAR are inducted and described.In this model, returned signal consists of two parts——the returned sinusoids signal of dominant scattersand the additive noise and clutter. The sinusoids have a discrete spectrum, while the noise and clutter hasa continuous spectrum. Based on such model, the RELAX algorithm is introduced in the feature extractionof targets which can be divided into several dominant scatters: estimating these dominant scatters’discretespectrum parameters from the noise and clutter’s continuous spectrum. Among the estimated parameters,the frequencies correspond to the location of dominant scatters, and the amplitudes are proportional totheir RCSs. By this means, we can realize target feature extraction for this specific kind of targets.Finally, computer simulation results are presented to show the validities and advantages of RELAXalgorithm.