A 2-D Range Ambiguity Suppression Method Based on Blind Source Separation for Multichannel SAR Systems
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING(2024)
摘要
Advanced multichannel spaceborne synthetic aperture radar (SAR) systems with multiple elevation beams allow for obtaining high-resolution and wide-swath SAR images. However, the degradation of the SAR image quality due to range ambiguities is still an issue. In this article, the range-ambiguity problem is analytically modeled and solved by employing a range-time and Doppler-frequency dependent mixing matrix, which describes the linear superposition of multiple mutually range-ambiguous radar echoes. The overall framework can be regarded as a generalization of the cocktail party problem where each listener has to separate one speech signal out of a linear superposition of multiple voices. For the first time, the 2-D dependence of the antenna radiation pattern in the elevation and azimuth directions is considered by accounting for both the real-time beamsteering in elevation and the systematic variations of the mixing coefficients with the Doppler frequency. A novel solution, based on higher order blind source separation, is presented. The performance of the proposed method is numerically analyzed, with reference to an array-fed reflector antenna SAR system, by simulating a realistic acquisition scenario. To this aim, real-SAR data and the actual antenna patterns of the Tandem-L mission proposal are considered.
更多查看译文
关键词
Digital beamforming (DBF),echo separation,high-resolution wide-swath,independent component analysis,reflector antenna,spaceborne synthetic aperture radar (SAR)
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要